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Your search keyword '"Cardoso, M.J."' showing total 19 results
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19 results on '"Cardoso, M.J."'

1. Early breast cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up

Author

Loibl, S., André, F., Bachelot, T., Barrios, C.H., Bergh, J., Burstein, H.J., Cardoso, M.J., Carey, L.A., Dawood, S., Del Mastro, L., Denkert, C., Fallenberg, E.M., Francis, P.A., Gamal-Eldin, H., Gelmon, K., Geyer, C.E., Gnant, M., Guarneri, V., Gupta, S., Kim, S.B., Krug, D., Martin, M., Meattini, I., Morrow, M., Janni, W., Paluch-Shimon, S., Partridge, A., Poortmans, P., Pusztai, L., Regan, M.M., Sparano, J., Spanic, T., Swain, S., Tjulandin, S., Toi, M., Trapani, D., Tutt, A., Xu, B., Curigliano, G., and Harbeck, N.

Published
2024
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2. Understanding breast cancer complexity to improve patient outcomes: The St Gallen International Consensus Conference for the Primary Therapy of Individuals with Early Breast Cancer 2023

Author

Aebi, S., Al-Foheidi, M., André, F., Anikusko, M., Badwe, R., Barrio, A.V., Barrios, C., Bergh, J., Bonnefoi, H., Bretel Morales, D., Brucker, S., Burstein, H.J., Caldas, C., Cameron, D., Cardoso, F., Cardoso, M.J., Carey, L., Chia, S., Coles, C., Cortes, J., Curigliano, G., de Boniface, J., Delaloge, S., DeMichele, A., Denkert, C., Fastner, G., Fitzal, F., Francis, P., Gamal, H., Gentilini, O., Gnant, M., Gradishar, W., Gulluoglu, B., Harbeck, N., Heil, J., Huang, C.-S.H., Huober, J., Jiang, Z., Kaidar-Person, O., Kok, M., Lee, E.-S., Loi, S., Loibl, S., Martin, M., Meattini, I., Morrow, M., Partridge, A., Penault-Llorca, F., Piccart, M., Pierce, L., Poortmans, P., Regan, M., Reis-Filho, J., Rubio, I., Rugo, H., Rutgers, E., Saura, C., Senkus, E., Shao, Z., Singer, C., Spanic, T., Thuerlimann, B., Toi, M., Tolaney, S., Turner, N., Tutt, A., Vrancken Peeters, M.-J., Watanabe, T., Weber, W., Wildiers, H., Xu, B., Regan, M.M., Weber, W.P., and Thürlimann, B.

Published
2023
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3. Metrics reloaded: recommendations for image analysis validation

Author

Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M.D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., Reyes, M., Riegler, M.A., Wiesenfarth, M., Kavur, A.E., Sudre, C.H., Baumgartner, M., Eisenmann, M., Heckmann-Notzel, D., Radsch, T., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Blaschko, M.B., Cardoso, M.J., Cheplygina, V., Cimini, B.A., Collins, G.S., Farahani, K., Ferrer, L., Galdran, A., Ginneken, B. van, Haase, R., Hashimoto, D.A., Hoffman, M.M., Huisman, M., Jannin, P., Kahn, C.E., Kainmueller, D., Kainz, B., Karargyris, A., Karthikesalingam, A., Kofler, F., Kopp-Schneider, A., Kreshuk, A., Kurc, T., Landman, B.A., Litjens, G.J., Madani, A., Maier-Hein, K., Martel, A.L., Mattson, P., Meijering, E., Menze, B., Moons, K.G., Muller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rajpoot, N., Rieke, N., Saez-Rodriguez, J., Sanchez, C.I., Shetty, S., Smeden, M. van, Summers, R.M., Taha, A.A., Tiulpin, A., Tsaftaris, S.A., Calster, B. van, Varoquaux, G., Jager, P.F., Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M.D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., Reyes, M., Riegler, M.A., Wiesenfarth, M., Kavur, A.E., Sudre, C.H., Baumgartner, M., Eisenmann, M., Heckmann-Notzel, D., Radsch, T., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Blaschko, M.B., Cardoso, M.J., Cheplygina, V., Cimini, B.A., Collins, G.S., Farahani, K., Ferrer, L., Galdran, A., Ginneken, B. van, Haase, R., Hashimoto, D.A., Hoffman, M.M., Huisman, M., Jannin, P., Kahn, C.E., Kainmueller, D., Kainz, B., Karargyris, A., Karthikesalingam, A., Kofler, F., Kopp-Schneider, A., Kreshuk, A., Kurc, T., Landman, B.A., Litjens, G.J., Madani, A., Maier-Hein, K., Martel, A.L., Mattson, P., Meijering, E., Menze, B., Moons, K.G., Muller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rajpoot, N., Rieke, N., Saez-Rodriguez, J., Sanchez, C.I., Shetty, S., Smeden, M. van, Summers, R.M., Taha, A.A., Tiulpin, A., Tsaftaris, S.A., Calster, B. van, Varoquaux, G., and Jager, P.F.

Abstract

Contains fulltext : 305368.pdf (Publisher’s version ) (Closed access), Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image analysis, chosen performance metrics often do not reflect the domain interest, and thus fail to adequately measure scientific progress and hinder translation of ML techniques into practice. To overcome this, we created Metrics Reloaded, a comprehensive framework guiding researchers in the problem-aware selection of metrics. Developed by a large international consortium in a multistage Delphi process, it is based on the novel concept of a problem fingerprint-a structured representation of the given problem that captures all aspects that are relevant for metric selection, from the domain interest to the properties of the target structure(s), dataset and algorithm output. On the basis of the problem fingerprint, users are guided through the process of choosing and applying appropriate validation metrics while being made aware of potential pitfalls. Metrics Reloaded targets image analysis problems that can be interpreted as classification tasks at image, object or pixel level, namely image-level classification, object detection, semantic segmentation and instance segmentation tasks. To improve the user experience, we implemented the framework in the Metrics Reloaded online tool. Following the convergence of ML methodology across application domains, Metrics Reloaded fosters the convergence of validation methodology. Its applicability is demonstrated for various biomedical use cases.

Published
2024

4. Understanding metric-related pitfalls in image analysis validation

Author

Reinke, A., Tizabi, M.D., Baumgartner, M., Eisenmann, M., Heckmann-Notzel, D., Kavur, A.E., Radsch, T., Sudre, C.H., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Buettner, F., Cardoso, M.J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B.A., Farahani, K., Ferrer, L., Galdran, A., Ginneken, B. van, Glocker, B., Godau, P., Hashimoto, D.A., Hoffman, M.M., Huisman, M., Isensee, F., Jannin, P., Kahn, C.E., Kainmueller, D., Kainz, B., Karargyris, A., Kleesiek, J., Kofler, F., Kooi, T., Kopp-Schneider, A., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B.A., Litjens, G.J., Madani, A., Maier-Hein, K., Martel, A.L., Meijering, E., Menze, B., Moons, K.G., Muller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rafelski, S.M., Rajpoot, N., Reyes, M., Riegler, M.A., Rieke, N., Saez-Rodriguez, J., Sanchez, C.I., Shetty, S., Summers, R.M., Taha, A.A., Tiulpin, A., Tsaftaris, S.A., Calster, B. van, Varoquaux, G., Yaniv, Z.R., Jager, P.F., Maier-Hein, L., Reinke, A., Tizabi, M.D., Baumgartner, M., Eisenmann, M., Heckmann-Notzel, D., Kavur, A.E., Radsch, T., Sudre, C.H., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Buettner, F., Cardoso, M.J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B.A., Farahani, K., Ferrer, L., Galdran, A., Ginneken, B. van, Glocker, B., Godau, P., Hashimoto, D.A., Hoffman, M.M., Huisman, M., Isensee, F., Jannin, P., Kahn, C.E., Kainmueller, D., Kainz, B., Karargyris, A., Kleesiek, J., Kofler, F., Kooi, T., Kopp-Schneider, A., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B.A., Litjens, G.J., Madani, A., Maier-Hein, K., Martel, A.L., Meijering, E., Menze, B., Moons, K.G., Muller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rafelski, S.M., Rajpoot, N., Reyes, M., Riegler, M.A., Rieke, N., Saez-Rodriguez, J., Sanchez, C.I., Shetty, S., Summers, R.M., Taha, A.A., Tiulpin, A., Tsaftaris, S.A., Calster, B. van, Varoquaux, G., Yaniv, Z.R., Jager, P.F., and Maier-Hein, L.

Abstract

Contains fulltext : 305370.pdf (Publisher’s version ) (Closed access), Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image analysis, metrics are often chosen inadequately. Although taking into account the individual strengths, weaknesses and limitations of validation metrics is a critical prerequisite to making educated choices, the relevant knowledge is currently scattered and poorly accessible to individual researchers. Based on a multistage Delphi process conducted by a multidisciplinary expert consortium as well as extensive community feedback, the present work provides a reliable and comprehensive common point of access to information on pitfalls related to validation metrics in image analysis. Although focused on biomedical image analysis, the addressed pitfalls generalize across application domains and are categorized according to a newly created, domain-agnostic taxonomy. The work serves to enhance global comprehension of a key topic in image analysis validation.

Published
2024

5. 153TiP Effects of resistance vs aerobic training on Ki-67 and other health-related biomarkers: The neo-program, a randomized controlled trial on breast cancer patients undergoing neoadjuvant treatment

Author

Ribeiro, J.T.M.L.M., primary, Matos, L.V., additional, Correia, I. Ramos, additional, Malveiro, C., additional, Magalhães, J.P., additional, Canas-Marques, R., additional, Vasconcelos, M.A., additional, Sardinha, L. Bettencourt, additional, and Cardoso, M.J., additional

Published
2023
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6. Risk reduction and screening of cancer in hereditary breast-ovarian cancer syndromes: ESMO Clinical Practice Guideline

Author

Sessa, C., primary, Balmaña, J., additional, Bober, S.L., additional, Cardoso, M.J., additional, Colombo, N., additional, Curigliano, G., additional, Domchek, S.M., additional, Evans, D.G., additional, Fischerova, D., additional, Harbeck, N., additional, Kuhl, C., additional, Lemley, B., additional, Levy-Lahad, E., additional, Lambertini, M., additional, Ledermann, J.A., additional, Loibl, S., additional, Phillips, K.-A., additional, and Paluch-Shimon, S., additional

Published
2023
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8. ESO–ESMO fifth international consensus guidelines for breast cancer in young women (BCY5)

Author

Paluch-Shimon, S., primary, Cardoso, F., additional, Partridge, A.H., additional, Abulkhair, O., additional, Azim, H.A., additional, Bianchi-Micheli, G., additional, Cardoso, M.J., additional, Curigliano, G., additional, Gelmon, K.A., additional, Gentilini, O., additional, Harbeck, N., additional, Kaufman, B., additional, Kim, S.B., additional, Liu, Q., additional, Merschdorf, J., additional, Poortmans, P., additional, Pruneri, G., additional, Senkus, E., additional, Sirohi, B., additional, Spanic, T., additional, Sulosaari, V., additional, Peccatori, F., additional, and Pagani, O., additional

Published
2022
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16. 211 (PB-118) Poster - The CINDERELLA APProach: Future Concepts for Patient Empowerment in Breast Cancer Treatment with Artificial Intelligence-Driven Healthcare Platform.

Author

Schinköthe, T., Bonci, E.A., Orit, K.P., Cruz, H., Di Micco, R., Gentilini, O., Heil, J., Kabata, P., Romariz, M., Gonçalves, T., Martins, H., Ludovica, B., Mika, M., Pfob, A., Romem, N., Silva, G., Bobowicz, M., and Cardoso, M.J.

Subjects
*BREAST tumor treatment, *SELF-efficacy, *ARTIFICIAL intelligence, *CONFERENCES & conventions, *HEALTH promotion
Published
2024
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17. 203 (PB-110) Poster - Uptake of post-mastectomy immediate breast reconstruction in older women – A real-world analysis from the European Society of Breast Cancer Specialists (EUSOMA) certified breast centres.

Author

Lee, R., Parks, R., Marotti, L., Ponti, A., Tomatis, M., Aristei, C., Curigliano, G., De Vries, J., Santini, D., Sardanelli, F., Van Dam, P., Rubio, I.T., Cardoso, M.J., and Cheung, K.L.

Subjects
*CANCER treatment, *MAMMAPLASTY, *CONFERENCES & conventions, *MASTECTOMY, *SPECIALTY hospitals
Published
2024
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19. 12 Oral - Drivers of choice and outcomes of breast-conserving surgery versus mastectomy in breast cancer patients with complete response following neoadjuvant therapy: a retrospective analysis from the EUSOMA database.

Author

Martorana, F., Catanuto, G., Gentile, D., Tomatis, M., Ponti, A., Marotti, L., Aristei, C., Cardoso, M.J., Cheung, K.L., Curigliano, G., de Vries, J., Santini, D., Sardanelli, F., Peter, V.D., and Rubio, I.T.

Subjects
*MAMMAPLASTY, *BREAST tumors, *TREATMENT effectiveness, *DECISION making, *CONFERENCES & conventions, *COMBINED modality therapy, *MASTECTOMY, *CANCER patient psychology
Published
2024
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