97 results on '"Treboux A"'
Search Results
2. Estrogen receptor positive breast cancers have patient specific hormone sensitivities and rely on progesterone receptor
- Author
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Scabia, Valentina, Ayyanan, Ayyakkannu, De Martino, Fabio, Agnoletto, Andrea, Battista, Laura, Laszlo, Csaba, Treboux, Assia, Zaman, Khalil, Stravodimou, Athina, Jallut, Didier, Fiche, Maryse, Bucher, Philip, Ambrosini, Giovanna, Sflomos, George, and Brisken, Cathrin
- Published
- 2022
- Full Text
- View/download PDF
3. Improved Line Detection in Images using Neural Networks and DTE Subclassifiers.
- Author
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Jérôme Treboux, Dominique Genoud, and Rolf Ingold
- Published
- 2021
- Full Text
- View/download PDF
4. Towards Retraining of Machine Learning Algorithms: An Efficiency Analysis Applied to Smart Agriculture.
- Author
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Jérôme Treboux, Rolf Ingold, and Dominique Genoud
- Published
- 2020
- Full Text
- View/download PDF
5. High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms.
- Author
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Jérôme Treboux and Dominique Genoud
- Published
- 2019
- Full Text
- View/download PDF
6. Primer registro de nidificación del Picaflor Escamado (Heliomaster squamosus) en Argentina
- Author
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Santiago, Sebastián M., primary, Villalba, Luisina A, additional, Motura, Ariel H., additional, Treboux, Guillermo, additional, Olivella, Valeria C., additional, and Paes Cavalcante, Nínive, additional
- Published
- 2023
- Full Text
- View/download PDF
7. Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers.
- Author
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Jérôme Treboux, Rolf Ingold, and Dominique Genoud
- Published
- 2021
- Full Text
- View/download PDF
8. Improved Machine Learning Methodology for High Precision Agriculture.
- Author
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Jerome Treboux and Dominique Genoud
- Published
- 2018
- Full Text
- View/download PDF
9. Decision Tree Ensemble Vs. N.N. Deep Learning: Efficiency Comparison For A Small Image Dataset.
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Jérôme Treboux, Dominique Genoud, and Rolf Ingold
- Published
- 2018
- Full Text
- View/download PDF
10. Intraductal xenografts show lobular carcinoma cells rely on their own extracellular matrix and LOXL1
- Author
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George Sflomos, Laura Battista, Patrick Aouad, Fabio De Martino, Valentina Scabia, Athina Stravodimou, Ayyakkannu Ayyanan, Assia Ifticene‐Treboux, RLS, Philipp Bucher, Maryse Fiche, Giovanna Ambrosini, and Cathrin Brisken
- Subjects
extracellular matrix ,lobular carcinoma ,LOXL1 ,preclinical models ,xenografts ,Medicine (General) ,R5-920 ,Genetics ,QH426-470 - Abstract
Abstract Invasive lobular carcinoma (ILC) is the most frequent special histological subtype of breast cancer, typically characterized by loss of E‐cadherin. It has clinical features distinct from other estrogen receptor‐positive (ER+) breast cancers but the molecular mechanisms underlying its characteristic biology are poorly understood because we lack experimental models to study them. Here, we recapitulate the human disease, including its metastatic pattern, by grafting ILC‐derived breast cancer cell lines, SUM‐44 PE and MDA‐MB‐134‐VI cells, into the mouse milk ducts. Using patient‐derived intraductal xenografts from lobular and non‐lobular ER+ HER2− tumors to compare global gene expression, we identify extracellular matrix modulation as a lobular carcinoma cell‐intrinsic trait. Analysis of TCGA patient datasets shows matrisome signature is enriched in lobular carcinomas with overexpression of elastin, collagens, and the collagen modifying enzyme LOXL1. Treatment with the pan LOX inhibitor BAPN and silencing of LOXL1 expression decrease tumor growth, invasion, and metastasis by disrupting ECM structure resulting in decreased ER signaling. We conclude that LOXL1 inhibition is a promising therapeutic strategy for ILC.
- Published
- 2021
- Full Text
- View/download PDF
11. Mining and Visualizing Social Data to Inform Marketing Decisions.
- Author
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Jérôme Treboux, Fabian Cretton, Florian Evéquoz, Anne Le Calvé, and Dominique Genoud
- Published
- 2016
- Full Text
- View/download PDF
12. A non-intrusive model to predict the exible energy in a residential building.
- Author
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Luc Dufour, Dominique Genoud, Antonio J. Jara, Jerome Treboux, Bruno Ladevie, and Jean Jacques Bezian
- Published
- 2015
- Full Text
- View/download PDF
13. A predictive data-driven model for traffic-jams forecasting in smart santader city-scale testbed.
- Author
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Jerome Treboux, Antonio J. Jara, Luc Dufour, and Dominique Genoud
- Published
- 2015
- Full Text
- View/download PDF
14. Supplementary figures from TIE-2 and VEGFR Kinase Activities Drive Immunosuppressive Function of TIE-2–Expressing Monocytes in Human Breast Tumors
- Author
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Ibberson, Mark, primary, Bron, Sylvian, primary, Guex, Nicolas, primary, Faes-van't Hull, Eveline, primary, Ifticene-Treboux, Assia, primary, Henry, Luc, primary, Lehr, Hans-Anton, primary, Delaloye, Jean-François, primary, Coukos, George, primary, Xenarios, Ioannis, primary, and Doucey, Marie-Agnès, primary
- Published
- 2023
- Full Text
- View/download PDF
15. Supplementary Information from TIE-2 and VEGFR Kinase Activities Drive Immunosuppressive Function of TIE-2–Expressing Monocytes in Human Breast Tumors
- Author
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Ibberson, Mark, primary, Bron, Sylvian, primary, Guex, Nicolas, primary, Faes-van't Hull, Eveline, primary, Ifticene-Treboux, Assia, primary, Henry, Luc, primary, Lehr, Hans-Anton, primary, Delaloye, Jean-François, primary, Coukos, George, primary, Xenarios, Ioannis, primary, and Doucey, Marie-Agnès, primary
- Published
- 2023
- Full Text
- View/download PDF
16. Supplementary Information from TIE-2 and VEGFR Kinase Activities Drive Immunosuppressive Function of TIE-2–Expressing Monocytes in Human Breast Tumors
- Author
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Marie-Agnès Doucey, Ioannis Xenarios, George Coukos, Jean-François Delaloye, Hans-Anton Lehr, Luc Henry, Assia Ifticene-Treboux, Eveline Faes-van't Hull, Nicolas Guex, Sylvian Bron, and Mark Ibberson
- Abstract
Supplementary Information - PDF file 145K, Supplementary Material and Methods; Supplementary Figure Legend S1 (Proliferation of tumor-specific CD4 T cells by matured DC pulsed with autologous tumor lysate.); Supplementary Figure Legend S2 (In breast tumors TEM and CD11c+ are distinct cell subsets.); Supplementary Tables S1 (Clinical and pathological features of tumors and patients (n=40)); Supplementary Tables S2 (CD11c+ DC and TEM from breast tumors were exposed to autologous CFSE-labeled T cells and their proliferation assessed five days later by flow cytometry.); Supplementary References
- Published
- 2023
17. Supplementary figures from TIE-2 and VEGFR Kinase Activities Drive Immunosuppressive Function of TIE-2–Expressing Monocytes in Human Breast Tumors
- Author
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Marie-Agnès Doucey, Ioannis Xenarios, George Coukos, Jean-François Delaloye, Hans-Anton Lehr, Luc Henry, Assia Ifticene-Treboux, Eveline Faes-van't Hull, Nicolas Guex, Sylvian Bron, and Mark Ibberson
- Abstract
Supplementary figures - PDF file 1536K, Figure S1. Proliferation of tumor-specific CD4 T cells by matured DC pulsed with autologous tumor lysate; Figure S2. In breast tumors TEM and CD11c+ are distinct cell subsets
- Published
- 2023
18. Geolocalized photovoltaic energy prediction methodology using machine learning
- Author
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Chianella, N., primary, Genoud, D., additional, Alder, J.M., additional, Arbellay, O., additional, Treboux, J., additional, Vianin, J., additional, and Wannier, D., additional
- Published
- 2023
- Full Text
- View/download PDF
19. An Evaluation of the Generalization Capabilities of Machine Learning Models for Vine Line Detection
- Author
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Treboux, Jérôme, primary, Pittet, Aurore, additional, and Genoud, Dominique, additional
- Published
- 2022
- Full Text
- View/download PDF
20. Retrospective thorough analysis of regional lymph node recurrence in breast cancer patients (REASON Trial)
- Author
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Liapi, A., primary, Stravodimou, A., additional, Aedo, V., additional, Jeanneret Sozzi, W., additional, Prior, J., additional, Nicod Lalonde, M., additional, Treboux, I., additional, Lelievre, L., additional, Rossier, L., additional, Goupil, A., additional, Bergomi, M., additional, Rivals, J.P., additional, Brouland, J.P., additional, Curtit, E., additional, Meuwly, J.Y., additional, and Zaman, K., additional
- Published
- 2022
- Full Text
- View/download PDF
21. An Evaluation of the Generalization Capabilities of Machine Learning Models for Vine Line Detection
- Author
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Jérôme Treboux, Aurore Pittet, and Dominique Genoud
- Published
- 2022
22. Abstract P6-10-22: miR363-3p mediates maintenance of breast cancer stem cells (BCSCs) and predicts resistance to neoadjuvant chemotherapy and disease recurrence
- Author
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Jean-Yves Meuwly, Assia Treboux, Stéphanie Renaud, Athina Stravodimou, Jean-François Delaloye, Nicolas Mermod, Scabia Valentina, M. Galmiche, Ioannis Xenarios, Maryse Fiche, Khalil Zaman, Cathrin Brisken, and Valérian Dormoy
- Subjects
Oncology ,Cancer Research ,Chemotherapy ,medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Cancer ,medicine.disease ,Metastasis ,Transplantation ,Breast cancer ,Internal medicine ,medicine ,Biomarker (medicine) ,Stem cell ,business ,Triple-negative breast cancer - Abstract
Background Increasing data support the role of BCSCs in recurrence and resistance to chemotherapy. However, detecting these cells specifically and targeting them therapeutically remain challenging. We set to identify miRNAs involved in chemoresistance of BCSCs in vitro and the results were assessed in the sera of healthy donors and breast cancer patients treated with neoadjuvant chemotherapy (NAC). Methods In vitro experiments were conducted in the MCF7 cell line grown as mammospheres (MS) in order to enrich a BCSC phenotype. After treatment with 5FU or Paclitaxel (Pac), microRNA profile of chemoresistant cells was analyzed by microarray. The results were compared to miRNAs found in immortalized non-tumorigenic MCF10A cells in order to exclude miRNAs related to normal stem cells. A signature of 6 miRNAs was identified. miR-363-3p, appearing the most relevant, was chosen for further assessment. By RT-qPCR, miR363-3p levels were 20- and 100-fold higher in ALDH+ sorted cells compared to ALDH- MCF7 and MDA-MB-231 cells, respectively. Moreover, overexpression of miR363-3p in MCF7 cells correlated with an increased number of ALDH+ cells and 1.5 more MS formed. In contrast, downregulation of miR363-3p levels induced a decrease in MS size and 2-fold reduction in number. Consistently, miR-363-3p downregulation decreased tumor growth and metastasis of MCF7 cells in an intraductal human-in-mice transplantation model. miRNA was quantified by RT-qPCR in tissue and sera collected prospectively from 40 breast cancer patients before and after NAC (anthracycline-taxane) and also from 25 healthy donors. Results Fifty percent of the patients had luminal A and B tumors (n=20), 32,5% (n=13) had triple negative breast cancer (TNBC), and 17.5% (n=7) had HER2 positive BC. Excluding one patient, who refused the surgical resection, 40% achieved pathological complete response (pCR). Six patients presented disease recurrence. In patients’ tumor before and after NAC, a higher level of miR363-3p was observed compared with benign tissue. In sera of the BC patients, miR363-3p levels were significantly higher than that of healthy donors. After NAC, the levels of miR363-3p remained high among patients who relapsed, whereas they were equivalent to the healthy donors in patients who remained in remission. No correlation between Ki-67, grade 1 or 2 and miR363-3p levels was observed. However, in grade 3 BC, low level of miR363-3p before and after NAC was correlated with pCR and remission. The level of miR363-3p correlated with remission and pCR in patients with TNBC and HER2 BC. Conclusions Assessment in the sera of patients and healthy donors confirms our previous data supporting the role of miR363-3p as predictive factor of resistance to neoadjuvant chemotherapy and disease recurrence. Further investigations are warranted to confirm the role of miR363-3p as a biomarker and potential therapeutic target. Citation Format: Stephanie Renaud, Athina Stravodimou, Maryse Fiche, Ioannis Xenarios, Scabia Valentina, Valerian Dormoy, Marie Galmiche, Cathrin Brisken, Jean-Francois Delaloye, Assia Treboux, Jean-Yves Meuwly, Nicolas Mermod, Khalil Zaman. miR363-3p mediates maintenance of breast cancer stem cells (BCSCs) and predicts resistance to neoadjuvant chemotherapy and disease recurrence [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P6-10-22.
- Published
- 2020
23. Charging potential of V4G through V2G standard protocol for CCS
- Author
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D. Wannier, J.-M. Alder, H. Pereira, J. Vianin, J. C. Ferreira Da Silva, J. Treboux, D. Genoud, G. Bonadio, T. Chaudhuri, G. Darbellay, and L. Dufour
- Published
- 2022
24. Sistema Presupuestario Público Argentino: El Presupuesto de Santa Fe
- Author
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Ameriso, Claudia C., Berén, Teresa, Germaná, Agustina, Treboux, Javier, Maiorana, Darío, Duyos, Luciano, Palma, Adriana, and Corestein, Cintia
- Subjects
Presupuesto Provincial Santafesino ,Sistema presupuestario público argentino ,Recursos estatales - Abstract
El sistema presupuestario público se inscribe como uno de los pilares del proceso de las finanzas públicas. Se ocupa de organizar la gestión pública y vincular las responsabilidades del Estado en el cumplimiento de sus funciones y en la realización de los planes y programas proyectados. El presupuesto público es el límite de gastos que una entidad puede realizar durante un año, de acuerdo a los ingresos que espera recibir, y debe ser la expresión financiera de los programas y proyectos que ejecutará para alcanzar los objetivos del plan de gobierno. Permite estimar los recursos que se obtendrán y distribuirlos de acuerdo a las prioridades de gobierno, entre las distintas instituciones. En consecuencia, es el principal instrumento de política pública, a través del cual se concretan los objetivos de gobierno y se identifican a las entidades responsables, siendo asimismo un mecanismo redistributivo de la riqueza. El resultado esperado de este proceso es un presupuesto público idóneo como instrumento de gestión y de información de las políticas públicas previstas para el corto y mediano plazo y el grado de efectividad y eficiencia en su cumplimiento. Considerando el carácter federal de nuestro país, las políticas fiscales vinculadas con las jurisdicciones provinciales y municipales, y sus implicancias financieras, deben estar articuladas razonable y adecuadamente con sus propias realidades económicas y sociales, de modo de obtener un panorama multidimensional de la situación de los gobiernos sub-nacionales en el marco de las políticas públicas nacionales, definidas en el presupuesto nacional. Los presupuestos tienen impactos muy concretos en la vida de las personas y el ejercicio efectivo de sus derechos. Los más directos se vinculan con la forma en que se gastan los recursos públicos y las prioridades a las que se asignan los fondos. Pero también existen efectos indirectos como los impactos que un presupuesto tiene en cuestiones como el empleo o la inflación. Fil: Ameriso, Claudia C. Universidad Nacional de Rosario; Argentina
- Published
- 2021
25. Retrospective thorough analysis of regional lymph node recurrence in breast cancer patients (REASON Trial)
- Author
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A. Liapi, A. Stravodimou, V. Aedo, W. Jeanneret Sozzi, J. Prior, M. Nicod Lalonde, I. Treboux, L. Lelievre, L. Rossier, A. Goupil, M. Bergomi, J.P. Rivals, J.P. Brouland, E. Curtit, J.Y. Meuwly, and K. Zaman
- Subjects
Cancer Research ,Oncology - Published
- 2022
26. Angiogenic Activity of Breast Cancer Patients' Monocytes Reverted by Combined Use of Systems Modeling and Experimental Approaches.
- Author
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Nicolas Guex, Isaac Crespo, Sylvian Bron, Assia Ifticene-Treboux, Eveline Faes-van't Hull, Solange Kharoubi, Robin Liechti, Patricia Werffeli, Mark Ibberson, Francois Majo, Michäel Nicolas, Julien Laurent, Abhishek Garg, Khalil Zaman, Hans-Anton Lehr, Brian J. Stevenson, Curzio Rüegg, George Coukos, Jean-François Delaloye, Ioannis Xenarios, and Marie-Agnes Doucey
- Published
- 2015
- Full Text
- View/download PDF
27. Charging potential of V4G through V2G standard protocol for CCS
- Author
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Wannier, D., primary, Alder, J.-M., additional, Pereira, H., additional, Vianin, J., additional, Ferreira Da Silva, J. C., additional, Treboux, J., additional, Genoud, D., additional, Bonadio, G., additional, Chaudhuri, T., additional, Darbellay, G., additional, and Dufour, L., additional
- Published
- 2022
- Full Text
- View/download PDF
28. Risk factors for positive resection margins of breast cancer tumorectomy specimen following breast-conserving surgery
- Author
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Valentin Rousson, Jean-François Delaloye, Hans-Anton Lehr, Niko Heiss, and Assia Ifticene-Treboux
- Subjects
medicine.medical_specialty ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,Breast Neoplasms ,Mastectomy, Segmental ,Complete resection ,Resection ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Breast cancer ,Postoperative Complications ,Breast-conserving surgery ,Medicine ,Humans ,Neoplasm Invasiveness ,030212 general & internal medicine ,Risk factor ,skin and connective tissue diseases ,Molecular Biology ,Invasive carcinoma ,business.industry ,Margins of Excision ,General Medicine ,Ductal carcinoma ,Middle Aged ,medicine.disease ,Carcinoma, Ductal ,030220 oncology & carcinogenesis ,Female ,Radiology ,Positive Surgical Margin ,business - Abstract
BackgroundThe aim of the study was to identify risk factors for positive surgical margins in breast-conserving surgery for breast cancer and to evaluate the influence of surgical experience in obtaining complete resection.MethodsAll lumpectomies for invasive breast carcinoma and ductal carcinoma in situ (DCIS) between April 2008 and March 2010 were selected from the database of a single institution. Re-excision rates for positive margins as well as patient and histopathologic tumor characteristics were analyzed. Surgical experience was staged by pairs made of Resident plus Specialist or Consultant. Two periods were defined. During period A, the majority of operations were performed by Residents under supervision of Specialist or Consultant. During period B, only palpable tumors were operated by Residents.ResultsThe global re-excision rate was 27% (50 of 183 patients). The presence of DCIS increased the risk for positive margins: 60% (nine of 15 patients) in the case of sole DCIS compared to 26% (41 of 160 patients) for invasive cancer (p = 0.005) and 35% (42 of 120 patients) in the case of peritumoral DCIS compared to 11% (seven of 62 patients) in the case of sole invasive cancer (p = 0.001). Re-excision rate decreased from 36% (23 of 64 patients) during period A to 23% (27 of 119 patients) during period B (p = 0.055). There was no significant difference between the surgical pairs.ConclusionIn our study, DCIS was the only risk factor for positive surgical margins. Breast-conserving surgery for non-palpable tumors should be performed by Specialists, however, palpable tumors can be safely operated by Residents under supervision.
- Published
- 2021
29. Presión tributaria sobre la actividad económica nacional-provincial argentina
- Author
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Ameriso, Claudia C., Treboux, Javier, Maiorana, Darío, Duyos, Luciano, Palma, Adriana, and Corestein, Cintia
- Subjects
finanzas públicas ,gasto público ,Presión tributaria ,Santa Fe - Abstract
Las finanzas públicas constituyen la rama del conocimiento que se ocupa del funcionamiento económico del Estado. Por lo tanto, su importancia crece en la medida en que el sector público se vuelve más relevante para la actividad económica. En una economía con un Estado poco desarrollado, las finanzas públicas tendrán un papel poco significativo. En cambio, en una economía con un sector público importante, en términos cuantitativos y cualitativos, éstas juegan un rol decisivo. La tributación es un componente esencial de las políticas públicas, siendo los impuestos la fuente fundamental del financiamiento de los programas de gasto público. Si están adecuadamente diseñados, los sistemas impositivos pueden mejorar la gobernanza, la transparencia y la rendición de cuentas. La presión tributaria es un indicador que hace referencia al “peso” que ejerce el Estado sobre una economía al detraer recursos privados de manera coercitiva para el financiamiento de sus actividades. El monitoreo de cerca de la gestión pública, colabora con el uso adecuado de los recursos públicos e induce un mejor desempeño del Estado, por ello el trabajo aborda la evolución de este indicador a nivel nacional, en el contexto de algunos países americanos para derivar, en particular, en la presión fiscal provincial, focalizando en la provincia de Santa Fe, lo que nos permite concluir que la presión impositiva real en Santa Fe es baja en relación con la de otras provincias argentinas, encontrándose en la décima posición dentro de las 13 provincias que cuentan con información disponible. Fil: Ameriso, Claudia C. Universidad Nacional de Rosario; Argentina Fil: Treboux, Javier. Universidad Nacional de Rosario; Argentina
- Published
- 2021
30. Improved Line Detection in Images using Neural Networks and DTE Subclassifiers
- Author
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Jeruome Treboux, Dominique Genoud, and Rolf Ingold
- Subjects
Artificial neural network ,Computer science ,business.industry ,Orientation (computer vision) ,Deep learning ,Line (geometry) ,Pattern recognition ,Artificial intelligence ,Precision agriculture ,business ,Image resolution ,Object detection ,Visualization - Abstract
It is widely accepted that deep neural networks are very efficient for object detection in images. They reach their limit when multiple long line instances have to be detected in very high resolution images. In this paper, we present an original methodology for the recognition of vine lines in high resolution aerial images. The process consists in combining a neural network with a subclassifier. We first compare a traditional U-Net architecture with a U-Net architecture designed for precision agriculture. We then highlight the significant improvement in vine line detection when a DTE is added after the customized U-Net. This methodology addresses the complex task of dissociating vine lines from other agricultural objects. The trained model is not sensitive to the orientation of the lines. Therefore, our experiments have improved the precision by around 15% compared to our improved neural network.
- Published
- 2021
31. Intraductal xenografts show lobular carcinoma cells rely on their own extracellular matrix and LOXL1
- Author
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Sflomos, G., Battista, L., Aouad, P., De Martino, F., Scabia, V., Stravodimou, A., Ayyanan, A., Ifticene-Treboux, A., Bucher, P., Fiche, M., Ambrosini, G., Brisken, C., and RLS
- Subjects
LOXL1 ,extracellular matrix ,lobular carcinoma ,preclinical models ,xenografts ,Carcinoma, Ductal, Breast ,Breast Neoplasms ,Articles ,Article ,body regions ,Carcinoma, Lobular ,Humans ,Female ,Breast ,skin and connective tissue diseases ,Cancer ,Retrospective Studies - Abstract
Invasive lobular carcinoma (ILC) is the most frequent special histological subtype of breast cancer, typically characterized by loss of E‐cadherin. It has clinical features distinct from other estrogen receptor‐positive (ER+) breast cancers but the molecular mechanisms underlying its characteristic biology are poorly understood because we lack experimental models to study them. Here, we recapitulate the human disease, including its metastatic pattern, by grafting ILC‐derived breast cancer cell lines, SUM‐44 PE and MDA‐MB‐134‐VI cells, into the mouse milk ducts. Using patient‐derived intraductal xenografts from lobular and non‐lobular ER+ HER2− tumors to compare global gene expression, we identify extracellular matrix modulation as a lobular carcinoma cell‐intrinsic trait. Analysis of TCGA patient datasets shows matrisome signature is enriched in lobular carcinomas with overexpression of elastin, collagens, and the collagen modifying enzyme LOXL1. Treatment with the pan LOX inhibitor BAPN and silencing of LOXL1 expression decrease tumor growth, invasion, and metastasis by disrupting ECM structure resulting in decreased ER signaling. We conclude that LOXL1 inhibition is a promising therapeutic strategy for ILC., Intraductal xenografts of invasive lobular carcinoma (ILC) cells faithfully model this breast cancer subtype, and reveal tumor cell intrinsic ECM remodeling as a critical feature of disease progression that can be exploited therapeutically by targeting LOXL1.
- Published
- 2021
32. Improved Line Detection in Images using Neural Networks and DTE Subclassifiers
- Author
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Treboux, Jerome, primary, Genoud, Dominique, additional, and Ingold, Rolf, additional
- Published
- 2021
- Full Text
- View/download PDF
33. Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers
- Author
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Rolf Ingold, Jerome Treboux, and Dominique Genoud
- Subjects
Vine ,Artificial neural network ,Computer science ,business.industry ,Pattern recognition ,Artificial intelligence ,Line (text file) ,business - Published
- 2021
34. Risk factors for positive resection margins of breast cancer tumorectomy specimen following breast-conserving surgery
- Author
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Heiss, Niko, Rousson, Valentin, Ifticene-Treboux, Assia, Lehr, Hans-Anton, Delaloye, Jean-François, Heiss, Niko, Rousson, Valentin, Ifticene-Treboux, Assia, Lehr, Hans-Anton, and Delaloye, Jean-François
- Abstract
Background The aim of the study was to identify risk factors for positive surgical margins in breast-conserving surgery for breast cancer and to evaluate the influence of surgical experience in obtaining complete resection. Methods All lumpectomies for invasive breast carcinoma and ductal carcinoma in situ (DCIS) between April 2008 and March 2010 were selected from the database of a single institution. Re-excision rates for positive margins as well as patient and histopathologic tumor characteristics were analyzed. Surgical experience was staged by pairs made of Resident plus Specialist or Consultant. Two periods were defined. During period A, the majority of operations were performed by Residents under supervision of Specialist or Consultant. During period B, only palpable tumors were operated by Residents. Results The global re-excision rate was 27% (50 of 183 patients). The presence of DCIS increased the risk for positive margins: 60% (nine of 15 patients) in the case of sole DCIS compared to 26% (41 of 160 patients) for invasive cancer (p = 0.005) and 35% (42 of 120 patients) in the case of peritumoral DCIS compared to 11% (seven of 62 patients) in the case of sole invasive cancer (p = 0.001). Re-excision rate decreased from 36% (23 of 64 patients) during period A to 23% (27 of 119 patients) during period B (p = 0.055). There was no significant difference between the surgical pairs. Conclusion In our study, DCIS was the only risk factor for positive surgical margins. Breast-conserving surgery for non-palpable tumors should be performed by Specialists, however, palpable tumors can be safely operated by Residents under supervision.
- Published
- 2021
35. Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers
- Author
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Treboux, Jérôme, primary, Ingold, Rolf, additional, and Genoud, Dominique, additional
- Published
- 2021
- Full Text
- View/download PDF
36. Towards Retraining of Machine Learning Algorithms: An Efficiency Analysis Applied to Smart Agriculture
- Author
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Treboux, Jerome, primary, Ingold, Rolf, additional, and Genoud, Dominique, additional
- Published
- 2020
- Full Text
- View/download PDF
37. Abstract P6-10-22: miR363-3p mediates maintenance of breast cancer stem cells (BCSCs) and predicts resistance to neoadjuvant chemotherapy and disease recurrence
- Author
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Renaud, Stephanie, primary, Stravodimou, Athina, additional, Fiche, Maryse, additional, Xenarios, Ioannis, additional, Valentina, Scabia, additional, Dormoy, Valerian, additional, Galmiche, Marie, additional, Brisken, Cathrin, additional, Delaloye, Jean-Francois, additional, Treboux, Assia, additional, Meuwly, Jean-Yves, additional, Mermod, Nicolas, additional, and Zaman, Khalil, additional
- Published
- 2020
- Full Text
- View/download PDF
38. 194 (PB-107) Poster - Retrospective thorough analysis of regional lymph node recurrence in breast cancer patients (REASON Trial)
- Author
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Liapi, A., Stravodimou, A., Aedo, V., Jeanneret Sozzi, W., Prior, J., Nicod Lalonde, M., Treboux, I., Lelievre, L., Rossier, L., Goupil, A., Bergomi, M., Rivals, J.P., Brouland, J.P., Curtit, E., Meuwly, J.Y., and Zaman, K.
- Published
- 2022
- Full Text
- View/download PDF
39. Travaux exploratoires multidisciplinaires sur l'influence du bois des ruches sur les abeilles: Anthropologie, hygrothermie, écologie chimique et intelligence artificielle pour le suivi du comptage de parasites
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Dupleix, Anna, Mui, Shu, Jullien, Delphine, Moity-Maizi, Pascale, Milliet-Treboux, Pauline, Schatz, Bertrand, Pfister, François, Reutenauer, Victor, Carlier, Capucine, Ruffio, Emmanuel, Bois (BOIS), Laboratoire de Mécanique et Génie Civil (LMGC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Gouvernance, Risque, Environnement, Développement (GRED), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Connecthive, Fotonower, Transferts, écoulements, fluides, énergétique (TREFLE), Université Sciences et Technologies - Bordeaux 1 (UB)-École Nationale Supérieure de Chimie et de Physique de Bordeaux (ENSCPB)-Centre National de la Recherche Scientifique (CNRS), Université Paul-Valéry - Montpellier 3 (UM3)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure de Chimie et de Physique de Bordeaux (ENSCPB)-Centre National de la Recherche Scientifique (CNRS), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
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analyse d'images ,ruches ,analyse d’images ,extractibles de châtaignier ,apiculture de précision ,connaissances ,interactions ,écologie chimique ,[SPI.MAT]Engineering Sciences [physics]/Materials ,machine learning ,usage traditionnel des bois des ruches ,Varroa destructor ,[SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph] ,confort hygrothermique ,Apis mellifera ,tests comportementaux - Abstract
National audience; L'objectif de ce projet de recherche est d'étudier la relation entre la qualité du matériau bois de construction des ruches et les conditions de vie internes des abeilles, envisagée comme source de solutions à certains stress actuels (parasitisme par Varroa destructor, sécheresses) auxquelles les colonies en voie de disparition doivent faire face. Notre méthode de travail consiste à s'appuyer sur des savoirs techniques locaux récoltés au moyen d'enquêtes anthropologiques de terrain pour construire les questions de recherche et bâtir les protocoles expérimentaux. Les hypothèses en cours de test concernent l'influence : des extractibles du bois de châtaignier sur le comportement de Varroa destructor ; du matériau de la ruche (bois, polystyrène) sur le climat hygrothermique interne. Afin d'étudier la dynamique d'évolution de la population du varroa, un outil de comptage automatisé basé sur l'apprentissage supervisé est en cours de développement en collaboration avec une entreprise spécialisée dans la reconnaissance d'images
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- 2018
40. Le bois des ruches, quel confort pour l'habitat des abeilles? Ruche d'observation électronique, outil et recherches en cours
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dupleix, Shu Wah Mui, Delphine Jullien, Pascale Moity Maïzi, Pauline Milliet-Treboux, Bertrand Schatz, François Pfister, Victor Reutenauer, Capucine Carlier, Emmanuel Ruffio, Gille Camp, Sébastien Druon, Matthieu Rousset, Bois (BOIS), Laboratoire de Mécanique et Génie Civil (LMGC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Innovation et Développement dans l'Agriculture et l'Alimentation (UMR Innovation), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Connecthive, Fotonower, Institut Pprime (PPRIME), Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS), Interactive Digital Humans (IDH), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre de recherches de biochimie macromoléculaire (CRBM), Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-IFR122-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), ENSMA-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Centre de recherche en Biologie Cellulaire (CRBM), Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Centre de recherche en Biologie cellulaire de Montpellier (CRBM)
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[SPI]Engineering Sciences [physics] ,[SDV]Life Sciences [q-bio] ,ComputingMilieux_MISCELLANEOUS ,[SHS]Humanities and Social Sciences - Abstract
International audience
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- 2018
41. Intraductal patient derived xenografts of estrogen receptor positive (ER+) breast cancer recapitulate the histopathological spectrum and metastatic potential of human lesions
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Reseau Lausannois du Sein, Cathrin Brisken, George Sflomos, Assia Treboux, Laura Battista, Valentina Scabia, Khalil Zaman, Maryse Fiche, Ayyakkannu Ayyanan, and Athina Stravodimou
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Human disease ,Breast cancer ,Stroma ,In vivo ,business.industry ,Biological property ,Cancer research ,Estrogen receptor ,Medicine ,Personalized medicine ,business ,medicine.disease ,Estrogen receptor alpha - Abstract
Estrogen receptor α positive (ER+) or “luminal” breast cancers were notoriously difficult to establish as patient-derived xenografts (PDXs). We and others recently demonstrated that the microenvironment is critical for ER+ tumor cells; by grafting them into milk ducts >90% take rates are achieved and many features of the human disease are recapitulated. This intra-ductal (ID) approach holds promise for personalized medicine, yet human and murine stroma are organized differently and this and other species specificities may limit the value of this model. Here, we analyzed 21 ER+ ID-PDXs histopathologically. We find that ID-PDXs vary in extent and define four histopathological patterns: flat, lobular,in situ, and invasive, which occur in pure and combined forms. The ID-PDXs replicate earlier stages of tumor development than their clinical counterparts. Micrometastases are already detected when lesions appearin situ. Tumor extent, histopathological patterns, and metastatic load correlate with biological properties of their tumors of origin. Our findings add evidence to the validity of the intraductal model forin vivostudies of ER+ breast cancer and raise the intriguing possibility that tumor cell dissemination may occur earlier than currently thought.Conflict of interest statement:The authors declare no conflict of interest.
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- 2018
42. Intraductal patient-derived xenografts of estrogen receptor α-positive breast cancer recapitulate the histopathological spectrum and metastatic potential of human lesions
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Athina Stravodimou, Assia Treboux, Patrick Aouad, Khalil Zaman, Ayyakkannu Ayyanan, Maryse Fiche, Valérian Dormoy, Valentina Scabia, Cathrin Brisken, George Sflomos, Laura Battista, Swiss Institute for Experimental Cancer Research [Epalinges, Switzerland], Institut Suisse de Recherches Expérimentales sur le Cancer Lausanne (EPFL) (ISREC - EPFL), Ecole Polytechnique Fédérale de Lausanne (EPFL), Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Pathologies Pulmonaires et Plasticité Cellulaire - UMR-S 1250 (P3CELL), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), dormoy, valerian, and RLS
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0301 basic medicine ,micrometastasis ,[SDV]Life Sciences [q-bio] ,Estrogen receptor ,Breast Neoplasms ,Nod ,Mice, SCID ,Pathology and Forensic Medicine ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,intraductal xenografts ,luminal breast cancer ,Stroma ,In vivo ,ductal carcinoma in situ ,patient-derived xenografts ,preclinical model ,Biological property ,Medicine ,Animals ,Humans ,Pathological ,patient‐derived xenografts ,business.industry ,Estrogen Receptor alpha ,Brief Definitive Report ,Mammary Neoplasms, Experimental ,medicine.disease ,3. Good health ,[SDV] Life Sciences [q-bio] ,Patient-derived xenografts ,030104 developmental biology ,Carcinoma, Intraductal, Noninfiltrating ,Neoplasm Micrometastasis ,030220 oncology & carcinogenesis ,Cancer research ,Heterografts ,Female ,Personalized medicine ,business ,Neoplasm Transplantation - Abstract
Estrogen receptor α‐positive (ER‐positive) or ‘luminal’ breast cancers were notoriously difficult to establish as patient‐derived xenografts (PDXs). We and others recently demonstrated that the microenvironment is critical for ER‐positive tumor cells; when grafted as single cells into milk ducts of NOD Scid gamma females, >90% of ER‐positive tumors can be established as xenografts and recapitulate many features of the human disease in vivo. This intraductal approach holds promise for personalized medicine, yet human and murine stroma are organized differently and this and other species specificities may limit the value of this model. Here, we analyzed 21 ER‐positive intraductal PDXs histopathologically. We found that intraductal PDXs vary in extent and define four histopathological patterns: flat, lobular, in situ and invasive, which occur in pure and combined forms. The intraductal PDXs replicate earlier stages of tumor development than their clinical counterparts. Micrometastases are already detected when lesions appear in situ. Tumor extent, histopathological patterns and micrometastatic load correlate with biological properties of their tumors of origin. Our findings add evidence to the validity of the intraductal model for in vivo studies of ER‐positive breast cancer and raise the intriguing possibility that tumor cell dissemination may occur earlier than currently thought. © 2018 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
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- 2018
43. Improved Machine Learning Methodology for High Precision Agriculture
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Dominique Genoud and Jerome Treboux
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010504 meteorology & atmospheric sciences ,business.industry ,Computer science ,Feature extraction ,0211 other engineering and technologies ,02 engineering and technology ,Machine learning ,computer.software_genre ,01 natural sciences ,Precision agriculture ,Artificial intelligence ,business ,Baseline (configuration management) ,computer ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences - Abstract
This paper presents the impact of machine learning in precision agriculture. State-of-the-art image recognition is applied to a dataset composed of high precision aerial pictures of vineyards. The study presents a comparison of an innovative machine learning methodology compared to a baseline used classically on vineyard and agricultural objects. The baseline uses color analysis and can discriminate interesting objects with an accuracy of (89.6%). The machine learning, an innovative approach for this type of use case, demonstrates that the results can be improved to obtain 94.27% of accuracy. Machine Learning used to enrich and improve the detection of precise agricultural objects is also discussed in this study and opens new perspectives for the future of high precision agriculture.
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- 2018
44. Decision Tree Ensemble Vs. N.N. Deep Learning: Efficiency Comparison For A Small Image Dataset
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Rolf Ingold, Dominique Genoud, and Jerome Treboux
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Artificial neural network ,business.industry ,Computer science ,Computation ,Deep learning ,Feature extraction ,Decision tree ,Pattern recognition ,computer.file_format ,Image (mathematics) ,GeoTIFF ,Statistical classification ,ComputingMethodologies_PATTERNRECOGNITION ,Artificial intelligence ,business ,computer - Abstract
This paper presents a study of the efficiency of machine learning algorithms applied on an image recognition task. The dataset is composed of aerial GeoTIFF images of 5 different vineyards taken with a drone. It presents the application of two different classification algorithms with an efficiency comparison over a small dataset. A Neural Network algorithm for classification through the TensorFlow platform will be explained first, and a Decision Tree Ensemble algorithm for classification through a machine learning platform will be explained second. This work shows that the accuracy of the Decision Tree Ensemble algorithm (94.27%) outperforms the accuracy of the Deep Learning algorithm (91.22%). This result is based on the final detection accuracy as well as on the computation time.
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- 2018
45. Axillary dissection versus no axillary dissection in patients with breast cancer and sentinel-node micrometastases (IBCSG 23-01): 10-year follow-up of a randomised, controlled, phase 3 trial
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Achim Fleischmann, Cindy Mak, Jane Hill, David Littlejohn, Andreas Veronesi, Holger Moch, Stefano Zurrida, L Perey, Nirmala Pathmanathan, Carlo Tondini, Giancarlo Pruneri, Viviana Galimberti, Christian Oehlschlegel, Christoph Rageth, Jack Hoffmann, Richard D. Gelber, John J. Collins, Angelo Recalcati, Marisa Donatella Magri, Andrée Rorive, Bruno Späti, Dimitri Sarlos, Zsuzsanna Varga, Rolf A. Stahel, Mattia Intra, Charlotte Lanng, P. Smart, L. Tan, Anna Cardillo, Francesco Coran, James French, Rudolf Maibach, Manuela Rabaglio, Marco Colleoni, Emilia Montagna, Elisabeth Saurenmann, Elisabeth Elder, Michael Knauer, Samuele Massarut, Mauro Arcicasa, Karin Ribi, Julie Craik, Theresa Zielinski, Wendy Jeanneret Sozzi, Sandro Morassut, Tiziana Rusca, Paul Chin, Elgene Lim, Frances M. Boyle, Richard West, Patrizia Dell'Orto, Umberto Veronesi, Marie-Christine Mathieu, Jean-Remi Garbay, Katrina Moore, Marisa Cristina Leonardi, Gregory Bruce Mann, Donatella Santini, Mario Roncadin, Joëlle Collignon, Michael D. Green, David Moon, Oreste Gentilini, Petere G. Gill, Stephen Allpress, Giulia Peruzzotti, Elga Majdic, Caitlin Mahoney, Karen N. Price, Craig Murphy, Lori Hayes, Melissa Bochner, Lynette Mann, Christoph Tausch, Otto Schiltknecht, Antonino Carbone, Aron Goldhirsch, Giuseppe Cancello, Anand Murugasu, John F. Forbes, Erica Piccoli, Luca Mazzucchelli, Alberto Gianatti, Lucien Zaman, Jose Manuel Cotrina, Per Karlsson, Janez Zgajnar, Diana Crivellari, Birgitte Bruun Rasmussen, Elisabetta Candiago, Manuela Sargenti, Robert Whitfield, Silvia Dellapasqua, R. Ghisini, Meredith M. Regan, Michael Müller, Tiziana Perin, M. Thorburn, Stamatina Fournarakou, Monika Bamert, Malcolm Buchanan, Allison Jones, Gerhard Ries, Andreas Ehrsam, Hugh Carmalt, István Láng, Jürg Bernhard, Guy Jerusalem, Manuela Lagrassa, S. Fiona Bonar, Mario Mileto, Jurij Lindtner, P. Jeal, Fereshte Farshidi, Bernard F. Cole, John Hoerby, James Kollias, Privato Fenaroli, Giovanni Mazzarol, Richard Dyer, Angelo Buonadonna, Heidi Roschitzki, Stefania Andrighetto, Robert Macindoe, Martin F. Fey, Ingrid Kössler, Olivia Pagani, Anita Hiltbrunner, Camelia Chifu, William Ross, Rachele Volpe, Linda Leidi, Barbara Ruepp, Giorgio Caccia, Philippe Delvenne, Susanne Gerred, Tara Scolese, Mario Taffurelli, Paola Baratella, Jean Francois Delaloye, Richard Harman, A. Michael Bilous, Ian G. Campbell, Franco Nolè, Maryse Fiche, Ute Lorenz, Susanne Roux, Roberto Orecchia, Mark Sywak, Aashit Shah, Assia Treboux, Laura Cattaneo, Martina Egli-Tupaj, Rosmarie Caduff, Paolo Veronesi, Linda Madigan, Elena Kralidis, Maj-Lis Moeller Talman, Roswitha Kammler, Michael Töpfer, Eva Juhasz, Peer Schousen, Michele Ghielmini, Snjezana Frkovic-Grazio, Hanne Galatius, Elisabeth Rippy, Sylvie Maweja, Lynette Blacher, Stefan Aebi, D.F. Preece, Gilles Berclaz, Daniel Wyss, D. F. Lindsay, Andreas Günthert, Frederick Mayall, Lucia Bronz, Paul McKenzie, Andrew J. Spillane, Giuseppe Viale, Sandra Lippert, Alberto Luini, Virginia Howard, Giuseppe Curigliano, Rainer Grobholz, Robert Millar, Julio Abugattas, Hans-Anton Lehr, Maria Emanuela Limonta, Monica Iorfida, Elisa Vicini, Helle Holtveg, Angelo Di Leo, Giuseppe Renne, Alan S. Coates, Ezio Candiani, Karolyn Scott, Mauro G. Mastropasqua, Paolo Tricomi, Thomas Gyr, Karen Briscoe, and Viviana Galimberti, Bernard F Cole, Giuseppe Viale, Paolo Veronesi, Elisa Vicini, Mattia Intra, Giovanni Mazzarol, Samuele Massarut, Janez Zgajnar, Mario Taffurelli, David Littlejohn, Michael Knauer, Carlo Tondini, Angelo Di Leo, Marco Colleoni, Meredith M Regan, Alan S Coates, Richard D Gelber, Aron Goldhirsch
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0301 basic medicine ,medicine.medical_specialty ,Time Factors ,medicine.medical_treatment ,Population ,Breast Neoplasms ,Disease-Free Survival ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,Risk Factors ,Clinical endpoint ,Medicine ,Humans ,education ,Mastectomy ,education.field_of_study ,business.industry ,Sentinel Lymph Node Biopsy ,Hazard ratio ,Sentinel node ,medicine.disease ,Breast cancer, axillary dissection, IBCSG 23-01, follow up ,Surgery ,Clinical trial ,Axilla ,030104 developmental biology ,medicine.anatomical_structure ,Oncology ,Neoplasm Micrometastasis ,030220 oncology & carcinogenesis ,Lymphatic Metastasis ,Disease Progression ,Lymph Node Excision ,Female ,Sentinel Lymph Node ,business - Abstract
Summary Background We previously reported the 5-year results of the phase 3 IBCSG 23-01 trial comparing disease-free survival in patients with breast cancer with one or more micrometastatic (≤2 mm) sentinel nodes randomly assigned to either axillary dissection or no axillary dissection. The results showed no difference in disease-free survival between the groups and showed non-inferiority of no axillary dissection relative to axillary dissection. The current analysis presents the results of the study after a median follow-up of 9·7 years (IQR 7·8–12·7). Methods In this multicentre, randomised, controlled, open-label, non-inferiority, phase 3 trial, participants were recruited from 27 hospitals and cancer centres in nine countries. Eligible women could be of any age with clinical, mammographic, ultrasonographic, or pathological diagnosis of breast cancer with largest lesion diameter of 5 cm or smaller, and one or more metastatic sentinel nodes, all of which were 2 mm or smaller and with no extracapsular extension. Patients were randomly assigned (1:1) before surgery (mastectomy or breast-conserving surgery) to no axillary dissection or axillary dissection using permuted blocks generated by a web-based congruence algorithm, with stratification by centre and menopausal status. The protocol-specified primary endpoint was disease-free survival, analysed in the intention-to-treat population (as randomly assigned). Safety was assessed in all randomly assigned patients who received their allocated treatment (as treated). We did a one-sided test for non-inferiority of no axillary dissection by comparing the observed hazard ratios (HRs) for disease-free survival with a margin of 1·25. This 10-year follow-up analysis was not prespecified in the trial's protocol and thus was not adjusted for multiple, sequential testing. This trial is registered with ClinicalTrials.gov, number NCT00072293. Findings Between April 1, 2001, and Feb 8, 2010, 6681 patients were screened and 934 randomly assigned to no axillary dissection (n=469) or axillary dissection (n=465). Three patients were ineligible and were excluded from the trial after randomisation. Disease-free survival at 10 years was 76·8% (95% CI 72·5–81·0) in the no axillary dissection group, compared with 74·9% (70·5–79·3) in the axillary dissection group (HR 0·85, 95% CI 0·65–1·11; log-rank p=0·24; p=0·0024 for non-inferiority). Long-term surgical complications included lymphoedema of any grade in 16 (4%) of 453 patients in the no axillary dissection group and 60 (13%) of 447 in the axillary dissection group, sensory neuropathy of any grade in 57 (13%) in the no axillary dissection group versus 85 (19%) in the axillary dissection group, and motor neuropathy of any grade (14 [3%] in the no axillary dissection group vs 40 [9%] in the axillary dissection group). One serious adverse event (postoperative infection and inflamed axilla requiring hospital admission) was attributed to axillary dissection; the event resolved without sequelae. Interpretation The findings of the IBCSG 23-01 trial after a median follow-up of 9·7 years (IQR 7·8–12·7) corroborate those obtained at 5 years and are consistent with those of the 10-year follow-up analysis of the Z0011 trial. Together, these findings support the current practice of not doing an axillary dissection when the tumour burden in the sentinel nodes is minimal or moderate in patients with early breast cancer. Funding International Breast Cancer Study Group.
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- 2018
46. High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms
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Treboux, Jerome, primary and Genoud, Dominique, additional
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- 2019
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47. MOOC & institutions culturelles : étude de cas du MOOC Les Origines de l’Homme du Musée de l’Homme et d’Orange
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Treboux, Clément, Université Paris-Sorbonne - Paris 4 - École des hautes études en sciences de l'information et de la communication (UP4 CELSA), Université Paris-Sorbonne (UP4), and Anneliese Depoux
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Pédagogie ,Numérique ,[SHS.INFO]Humanities and Social Sciences/Library and information sciences ,Culture ,Edutainment ,Éducation ,Massive Open Online Courses (MOOC) ,Musée ,Orange ,Musée de l’Homme - Abstract
Ce mémoire s’intéresse aux Massive Open Online Courses (MOOC) dans le milieu culturel. À travers une étude de cas sur le MOOC Les Origines de l’Homme entre Orange et le Musée de l’Homme, l’hybridité de ce nouveau dispositif pédagogique est mise en perspective. Entre outil de communication et outil pédagogique, le MOOC apparaît non seulement être une innovation pour l’enseignement mais également un outil communicationnel au service de son marché : l’éducation.Cette approche a pour objectif de traiter plusieurs questions relatives au MOOC notamment économiques et sociales, tout en détaillant ses spécificités et ses invariants. Le prisme culturel permet, entre autres, d’observer l’adaptabilité de ces cours en ligne à l’environnement des institutions. Selon les institutions, les cours peuvent ainsi se moduler, dans leur forme et leur contenu. À travers le MOOC, les institutions peuvent donc véhiculée une image. Une analyse sémiologique des vidéos, des newsletters et du site du MOOC Les Origines de l’Homme met ainsi en exergue la retranscription des caractéristiques des musées scientifiques sur ce nouvel outil numérique.
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- 2017
48. Improving tourism marketing strategies by predicting the behavior of travelers using social media networks
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Treboux, Jérôme, Agianniotis, Aristotelis, and Genoud, Dominique
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- 2017
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49. Axillary dissection versus no axillary dissection in patients with breast cancer and sentinel-node micrometastases (IBCSG 23-01): 10-year follow-up of a randomised, controlled phase 3 trial
- Author
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Galimberti, Viviana, primary, Cole, Bernard F, additional, Viale, Giuseppe, additional, Veronesi, Paolo, additional, Vicini, Elisa, additional, Intra, Mattia, additional, Mazzarol, Giovanni, additional, Massarut, Samuele, additional, Zgajnar, Janez, additional, Taffurelli, Mario, additional, Littlejohn, David, additional, Knauer, Michael, additional, Tondini, Carlo, additional, Di Leo, Angelo, additional, Colleoni, Marco, additional, Regan, Meredith M, additional, Coates, Alan S, additional, Gelber, Richard D, additional, Goldhirsch, Aron, additional, Boyle, Fran, additional, Jerusalem, Guy, additional, Stahel, Rolf, additional, Aebi, Stefan, additional, Green, Michael, additional, Karlsson, Per, additional, Kössler, Ingrid, additional, Láng, Istvan, additional, Hiltbrunner, Anita, additional, Bernhard, Jürg, additional, Fournarakou, Stamatina, additional, Kammler, Roswitha, additional, Maibach, Rudolf, additional, Rabaglio, Manuela, additional, Ribi, Karin, additional, Roschitzki, Heidi, additional, Roux, Susanne, additional, Ruepp, Barbara, additional, Mahoney, Caitlin, additional, Price, Karen, additional, Blacher, Lynette, additional, Scolese, Tara, additional, Scott, Karolyn, additional, Lippert, Sandra, additional, Zielinski, Theresa, additional, Mastropasqua, Mauro, additional, Andrighetto, Stefania, additional, Dell'Orto, Patrizia, additional, Renne, Giuseppe, additional, Pruneri, Giancarlo, additional, Dellapasqua, Silvia, additional, Iorfida, Monica, additional, Cancello, Giuseppe, additional, Montagna, Emilia, additional, Cardillo, Anna, additional, Peruzzotti, Giulia, additional, Ghisini, Raffaella, additional, Luini, Alberto, additional, Veronesi, Umberto, additional, Gentilini, Oreste, additional, Zurrida, Stefano, additional, Curigliano, Giuseppe, additional, Nole, Franco, additional, Orecchia, Roberto, additional, Leonardi, Marisa Cristina, additional, Baratella, Paola, additional, Chifu, Camelia, additional, Sargenti, Manuela, additional, Crivellari, Diana, additional, Morassut, Sandro, additional, Mileto, Mario, additional, Piccoli, Erica, additional, Veronesi, Andreas, additional, Magri, Marisa Donatella, additional, Buonadonna, Angelo, additional, Candiani, Ezio, additional, Carbone, Antonino, additional, Perin, Tiziana, additional, Volpe, Rachele, additional, Roncadin, Mario, additional, Arcicasa, Mauro, additional, Coran, Francesco, additional, Lagrassa, Manuela, additional, Recalcati, Angelo, additional, Limonta, Maria Emanuela, additional, Tricomi, Paolo, additional, Fenaroli, Privato, additional, Candiago, Elisabetta, additional, Cattaneo, Laura, additional, Gianatti, Alberto, additional, Santini, Donatella, additional, Maweja, Sylvie, additional, Delvenne, Philippe, additional, Rorive, Andrée, additional, Collignon, Joëlle, additional, Garbay, Jean-Remi, additional, Mathieu, Marie-Christine, additional, Galatius, Hanne, additional, Hoffmann, Jack, additional, Schousen, Peer, additional, Lanng, Charlotte, additional, Hoerby, John, additional, Bruun Rasmussen, Birgitte, additional, Holtveg, Helle, additional, Moeller Talman, Maj-Lis, additional, Abugattas, Julio Elías, additional, Cotrina, Jose Manuel, additional, Dyer, Richard, additional, Lindtner, Jurij, additional, Majdic, Elga, additional, Frkovic-Grazio, Snjezana, additional, Oehlschlegel, Christian, additional, Ries, Gerhard, additional, Töpfer, Michael, additional, Lorenz, Ute, additional, Schiltknecht, Otto, additional, Späti, Bruno, additional, Ehrsam, Andreas, additional, Bamert, Monika, additional, Egli-Tupaj, Martina, additional, Rageth, Christoph, additional, Saurenmann, Elisabeth, additional, Tausch, Christoph, additional, Caduff, Rosmarie, additional, Moch, Holger, additional, Varga, Zsuzsanna, additional, Sarlos, Dimitri, additional, Kralidis, Elena, additional, Grobholz, Rainer, additional, Pagani, Olivia, additional, Bronz, Lucia, additional, Ghielmini, Michele, additional, Mazzucchelli, Luca, additional, Rusca, Tiziana, additional, Gyr, Thomas, additional, Leidi, Linda, additional, Caccia, Giorgio, additional, Wyss, Daniel, additional, Fey, Martin F., additional, Müller, Michael, additional, Günthert, Andreas, additional, Berclaz, Gilles, additional, Fleischmann, Achim, additional, Delaloye, Jean Francois, additional, Treboux, Assia, additional, Lehr, Hans-Anton, additional, Fiche, Maryse, additional, Perey, Lucien, additional, Zaman, Lucien, additional, Jeanneret Sozzi, Wendy, additional, Forbes, John, additional, Lindsay, D.F., additional, Preece, D.F., additional, Hill, Jane, additional, Jeal, P., additional, Smart, P., additional, Collins, John, additional, Mann, Gregory Bruce, additional, Millar, Robert, additional, Murphy, Craig, additional, Buchanan, Malcolm, additional, Murugasu, Anand, additional, French, James, additional, Elder, Elisabeth, additional, Mann, Lynette, additional, Moon, David, additional, Bilous, A. Michael, additional, Pathmanathan, Nirmala, additional, Howard, Virginia, additional, Gill, Petere G., additional, Kollias, James, additional, Bochner, Melissa, additional, Madigan, Linda, additional, Rippy, Elisabeth, additional, Whitfield, Robert, additional, Farshidi, Fereshte, additional, Moore, Katrina, additional, Sywak, Mark, additional, Tan, L., additional, Ross, William, additional, Briscoe, Karen, additional, Jones, Allison, additional, Shah, Aashit, additional, Lim, Elgene, additional, Macindoe, Robert, additional, Spillane, Andrew, additional, Bonar, S. Fiona, additional, Carmalt, Hugh, additional, West, Richard, additional, Mak, Cindy, additional, McKenzie, Paul, additional, Harman, Richard, additional, Gerred, Susanne, additional, Juhasz, Eva, additional, Allpress, Stephen, additional, Craik, Julie, additional, Campbell, Ian, additional, Chin, Paul, additional, Hayes, Lori, additional, Mayall, Frederick, additional, and Thorburn, M., additional
- Published
- 2018
- Full Text
- View/download PDF
50. Improved Machine Learning Methodology for High Precision Agriculture
- Author
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Treboux, Jerome, primary and Genoud, Dominique, additional
- Published
- 2018
- Full Text
- View/download PDF
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