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197 results on '"Kovalev, Vassili"'

1. Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey

Author

Ye, Mang, Shen, Wei, Du, Bo, Snezhko, Eduard, Kovalev, Vassili, and Yuen, Pong C.

Subjects
Computer Science - Machine Learning, Computer Science - Cryptography and Security
Abstract

Vertical Federated Learning (VFL) is a privacy-preserving distributed learning paradigm where different parties collaboratively learn models using partitioned features of shared samples, without leaking private data. Recent research has shown promising results addressing various challenges in VFL, highlighting its potential for practical applications in cross-domain collaboration. However, the corresponding research is scattered and lacks organization. To advance VFL research, this survey offers a systematic overview of recent developments. First, we provide a history and background introduction, along with a summary of the general training protocol of VFL. We then revisit the taxonomy in recent reviews and analyze limitations in-depth. For a comprehensive and structured discussion, we synthesize recent research from three fundamental perspectives: effectiveness, security, and applicability. Finally, we discuss several critical future research directions in VFL, which will facilitate the developments in this field. We provide a collection of research lists and periodically update them at https://github.com/shentt67/VFL_Survey., Comment: 31 pages, 9 figures, 10 tables

Published
2024

2. Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications

Author

Ionescu, Bogdan, Müller, Henning, Drăgulinescu, Ana-Maria, Rückert, Johannes, Ben Abacha, Asma, García Seco de Herrera, Alba, Bloch, Louise, Brüngel, Raphael, Idrissi-Yaghir, Ahmad, Schäfer, Henning, Schmidt, Cynthia Sabrina, Pakull, Tabea M. G., Damm, Hendrik, Bracke, Benjamin, Friedrich, Christoph M., Andrei, Alexandra-Georgiana, Prokopchuk, Yuri, Karpenka, Dzmitry, Radzhabov, Ahmedkhan, Kovalev, Vassili, Macaire, Cécile, Schwab, Didier, Lecouteux, Benjamin, Esperança-Rodier, Emmanuelle, Yim, Wen-Wai, Fu, Yujuan, Sun, Zhaoyi, Yetisgen, Meliha, Xia, Fei, Hicks, Steven A., Riegler, Michael A., Thambawita, Vajira, Storås, Andrea, Halvorsen, Pål, Heinrich, Maximilian, Kiesel, Johannes, Potthast, Martin, Stein, Benno, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Goeuriot, Lorraine, editor, Mulhem, Philippe, editor, Quénot, Georges, editor, Schwab, Didier, editor, Di Nunzio, Giorgio Maria, editor, Soulier, Laure, editor, Galuščáková, Petra, editor, García Seco de Herrera, Alba, editor, Faggioli, Guglielmo, editor, and Ferro, Nicola, editor

Published
2024
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3. Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024

Author

Ionescu, Bogdan, Müller, Henning, Drăgulinescu, Ana Maria, Idrissi-Yaghir, Ahmad, Radzhabov, Ahmedkhan, Herrera, Alba Garcia Seco de, Andrei, Alexandra, Stan, Alexandru, Storås, Andrea M., Abacha, Asma Ben, Lecouteux, Benjamin, Stein, Benno, Macaire, Cécile, Friedrich, Christoph M., Schmidt, Cynthia Sabrina, Schwab, Didier, Esperança-Rodier, Emmanuelle, Ioannidis, George, Adams, Griffin, Schäfer, Henning, Manguinhas, Hugo, Coman, Ioan, Schöler, Johanna, Kiesel, Johannes, Rückert, Johannes, Bloch, Louise, Potthast, Martin, Heinrich, Maximilian, Yetisgen, Meliha, Riegler, Michael A., Snider, Neal, Halvorsen, Pål, Brüngel, Raphael, Hicks, Steven A., Thambawita, Vajira, Kovalev, Vassili, Prokopchuk, Yuri, Yim, Wen-Wai, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Goharian, Nazli, editor, Tonellotto, Nicola, editor, He, Yulan, editor, Lipani, Aldo, editor, McDonald, Graham, editor, Macdonald, Craig, editor, and Ounis, Iadh, editor

Published
2024
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4. Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications

Author

Ionescu, Bogdan, Müller, Henning, Drăgulinescu, Ana-Maria, Yim, Wen-Wai, Ben Abacha, Asma, Snider, Neal, Adams, Griffin, Yetisgen, Meliha, Rückert, Johannes, García Seco de Herrera, Alba, Friedrich, Christoph M., Bloch, Louise, Brüngel, Raphael, Idrissi-Yaghir, Ahmad, Schäfer, Henning, Hicks, Steven A., Riegler, Michael A., Thambawita, Vajira, Storås, Andrea M., Halvorsen, Pål, Papachrysos, Nikolaos, Schöler, Johanna, Jha, Debesh, Andrei, Alexandra-Georgiana, Coman, Ioan, Kovalev, Vassili, Radzhabov, Ahmedkhan, Prokopchuk, Yuri, Ştefan, Liviu-Daniel, Constantin, Mihai-Gabriel, Dogariu, Mihai, Deshayes, Jérôme, Popescu, Adrian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Arampatzis, Avi, editor, Kanoulas, Evangelos, editor, Tsikrika, Theodora, editor, Vrochidis, Stefanos, editor, Giachanou, Anastasia, editor, Li, Dan, editor, Aliannejadi, Mohammad, editor, Vlachos, Michalis, editor, Faggioli, Guglielmo, editor, and Ferro, Nicola, editor

Published
2023
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5. ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications

Author

Ionescu, Bogdan, Müller, Henning, Drăgulinescu, Ana Maria, Popescu, Adrian, Idrissi-Yaghir, Ahmad, García Seco de Herrera, Alba, Andrei, Alexandra, Stan, Alexandru, Storås, Andrea M., Abacha, Asma Ben, Friedrich, Christoph M., Ioannidis, George, Adams, Griffin, Schäfer, Henning, Manguinhas, Hugo, Filipovich, Ihar, Coman, Ioan, Deshayes, Jérôme, Schöler, Johanna, Rückert, Johannes, Ştefan, Liviu-Daniel, Bloch, Louise, Yetisgen, Meliha, Riegler, Michael A., Dogariu, Mihai, Constantin, Mihai Gabriel, Snider, Neal, Papachrysos, Nikolaos, Halvorsen, Pål, Brüngel, Raphael, Kozlovski, Serge, Hicks, Steven, de Lange, Thomas, Thambawita, Vajira, Kovalev, Vassili, Yim, Wen-Wai, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamps, Jaap, editor, Goeuriot, Lorraine, editor, Crestani, Fabio, editor, Maistro, Maria, editor, Joho, Hideo, editor, Davis, Brian, editor, Gurrin, Cathal, editor, Kruschwitz, Udo, editor, and Caputo, Annalina, editor

Published
2023
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7. Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training

Author

Kovalev, Vassili and Kazlouski, Siarhei

Subjects
Computer Science - Computer Vision and Pattern Recognition, I.3.3, I.4.9
Abstract

In this paper, we explore the possibility of generating artificial biomedical images that can be used as a substitute for real image datasets in applied machine learning tasks. We are focusing on generation of realistic chest X-ray images as well as on the lymph node histology images using the two recent GAN architectures including DCGAN and PGGAN. The possibility of the use of artificial images instead of real ones for training machine learning models was examined by benchmark classification tasks being solved using conventional and deep learning methods. In particular, a comparison was made by replacing real images with synthetic ones at the model training stage and comparing the prediction results with the ones obtained while training on the real image data. It was found that the drop of classification accuracy caused by such training data substitution ranged between 2.2% and 3.5% for deep learning models and between 5.5% and 13.25% for conventional methods such as LBP + Random Forests., Comment: 10 pages, 2 figures, 3 tables

Published
2019

8. Influence of Control Parameters and the Size of Biomedical Image Datasets on the Success of Adversarial Attacks

Author

Kovalev, Vassili and Voynov, Dmitry

Subjects
Computer Science - Computer Vision and Pattern Recognition, I.4.10, I.2.10, K.6.5
Abstract

In this paper, we study dependence of the success rate of adversarial attacks to the Deep Neural Networks on the biomedical image type, control parameters, and image dataset size. With this work, we are going to contribute towards accumulation of experimental results on adversarial attacks for the community dealing with biomedical images. The white-box Projected Gradient Descent attacks were examined based on 8 classification tasks and 13 image datasets containing a total of 605,080 chest X-ray and 317,000 histology images of malignant tumors. We concluded that: (1) An increase of the amplitude of perturbation in generating malicious adversarial images leads to a growth of the fraction of successful attacks for the majority of image types examined in this study. (2) Histology images tend to be less sensitive to the growth of amplitude of adversarial perturbations. (3) Percentage of successful attacks is growing with an increase of the number of iterations of the algorithm of generating adversarial perturbations with an asymptotic stabilization. (4) It was found that the success of attacks dropping dramatically when the original confidence of predicting image class exceeds 0.95. (5) The expected dependence of the percentage of successful attacks on the size of image training set was not confirmed., Comment: 10 pages, 3 figures, 1 table, 3746 words

Published
2019

10. List of contributors

Author

Ahmad, Tanvir, primary, Akıl, Muhammed Fatih, additional, Alenezi, Fayadh, additional, Ayaltı, Samet, additional, Ayanzadeh, Aydin, additional, Balıkçi, Muhammed, additional, Belli, Özge Nur, additional, Bozaba, Engin, additional, Brahnam, Sheryl, additional, Çayır, Sercan, additional, Chandhru, K., additional, Chowdhury, Shreyasi Roy, additional, Cuza, Daniela, additional, Darbaz, Berkan, additional, Erdem, Yusuf Sait, additional, Ertuğrul, Ömer Faruk, additional, Filipovich, Ihar, additional, Iheme, Leonardo Obinna, additional, İnce, Ümit, additional, Karthik, R., additional, Kayhan, Cavit Kerem, additional, Khare, Yash, additional, Kovalev, Vassili, additional, Kusetogulları, Huseyin, additional, Loreggia, Andrea, additional, Lumini, Alessandra, additional, Masood, Sarfaraz, additional, Mayalı, Berkay, additional, Mazumdar, Susmita, additional, Morani, Kenan, additional, Nahid, Abdullah-Al, additional, Nanni, Loris, additional, Önal, Sevgi, additional, Özsoy, Gülşah, additional, Öztürk, Şaban, additional, Oğuz, Abdulhalık, additional, Pesen Okvur, Devrim, additional, Polat, Kemal, additional, Radzhabov, Ahmedkhan, additional, Raihan, Md. Johir, additional, Rani, Samta, additional, Senturk, Umit, additional, Snezhko, Eduard, additional, Solmaz, Gizem, additional, Srinivasan, Makesh, additional, Tekin, Eren, additional, Tokat, Fatma, additional, Töreyin, Behçet Uğur, additional, Uçar, Mahmut, additional, Ünay, Devrim, additional, Uzel, Burak, additional, Yalçın Özyusal, Özden, additional, Yazıcı, Çisem, additional, and Yucedag, Ibrahim, additional

Published
2023
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12. Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications

Author

Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Rückert, Johannes, Abacha, Asma Ben, de Herrera, Alba G. Seco, Friedrich, Christoph M., Bloch, Louise, Brüngel, Raphael, Idrissi-Yaghir, Ahmad, Schäfer, Henning, Kozlovski, Serge, Cid, Yashin Dicente, Kovalev, Vassili, Ştefan, Liviu-Daniel, Constantin, Mihai Gabriel, Dogariu, Mihai, Popescu, Adrian, Deshayes-Chossart, Jérôme, Schindler, Hugo, Chamberlain, Jon, Campello, Antonio, Clark, Adrian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Barrón-Cedeño, Alberto, editor, Da San Martino, Giovanni, editor, Degli Esposti, Mirko, editor, Sebastiani, Fabrizio, editor, Macdonald, Craig, editor, Pasi, Gabriella, editor, Hanbury, Allan, editor, Potthast, Martin, editor, Faggioli, Guglielmo, editor, and Ferro, Nicola, editor

Published
2022
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13. ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications

Author

de Herrera, Alba G. Seco, Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Abacha, Asma Ben, Friedrich, Christoph M., Rückert, Johannes, Bloch, Louise, Brüngel, Raphael, Idrissi-Yaghir, Ahmad, Schäfer, Henning, Kozlovski, Serge, Cid, Yashin Dicente, Kovalev, Vassili, Chamberlain, Jon, Clark, Adrian, Campello, Antonio, Schindler, Hugo, Deshayes, Jérôme, Popescu, Adrian, Ştefan, Liviu-Daniel, Constantin, Mihai Gabriel, Dogariu, Mihai, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hagen, Matthias, editor, Verberne, Suzan, editor, Macdonald, Craig, editor, Seifert, Christin, editor, Balog, Krisztian, editor, Nørvåg, Kjetil, editor, and Setty, Vinay, editor

Published
2022
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15. Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Author

Veta, Mitko, Heng, Yujing J., Stathonikos, Nikolas, Bejnordi, Babak Ehteshami, Beca, Francisco, Wollmann, Thomas, Rohr, Karl, Shah, Manan A., Wang, Dayong, Rousson, Mikael, Hedlund, Martin, Tellez, David, Ciompi, Francesco, Zerhouni, Erwan, Lanyi, David, Viana, Matheus, Kovalev, Vassili, Liauchuk, Vitali, Phoulady, Hady Ahmady, Qaiser, Talha, Graham, Simon, Rajpoot, Nasir, Sjöblom, Erik, Molin, Jesper, Paeng, Kyunghyun, Hwang, Sangheum, Park, Sunggyun, Jia, Zhipeng, Chang, Eric I-Chao, Xu, Yan, Beck, Andrew H., van Diest, Paul J., and Pluim, Josien P. W.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective and labor-intensive task. Previous efforts to automate tumor proliferation assessment by image analysis only focused on mitosis detection in predefined tumor regions. However, in a real-world scenario, automatic mitosis detection should be performed in whole-slide images (WSIs) and an automatic method should be able to produce a tumor proliferation score given a WSI as input. To address this, we organized the TUmor Proliferation Assessment Challenge 2016 (TUPAC16) on prediction of tumor proliferation scores from WSIs. The challenge dataset consisted of 500 training and 321 testing breast cancer histopathology WSIs. In order to ensure fair and independent evaluation, only the ground truth for the training dataset was provided to the challenge participants. The first task of the challenge was to predict mitotic scores, i.e., to reproduce the manual method of assessing tumor proliferation by a pathologist. The second task was to predict the gene expression based PAM50 proliferation scores from the WSI. The best performing automatic method for the first task achieved a quadratic-weighted Cohen's kappa score of $\kappa$ = 0.567, 95% CI [0.464, 0.671] between the predicted scores and the ground truth. For the second task, the predictions of the top method had a Spearman's correlation coefficient of r = 0.617, 95% CI [0.581 0.651] with the ground truth. This was the first study that investigated tumor proliferation assessment from WSIs. The achieved results are promising given the difficulty of the tasks and weakly-labelled nature of the ground truth. However, further research is needed to improve the practical utility of image analysis methods for this task., Comment: Overview paper of the TUPAC16 challenge: http://tupac.tue-image.nl/

Published
2018
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16. Overview of the ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications

Author

Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Abacha, Asma Ben, Sarrouti, Mourad, Demner-Fushman, Dina, Hasan, Sadid A., Kozlovski, Serge, Liauchuk, Vitali, Cid, Yashin Dicente, Kovalev, Vassili, Pelka, Obioma, de Herrera, Alba García Seco, Jacutprakart, Janadhip, Friedrich, Christoph M., Berari, Raul, Tauteanu, Andrei, Fichou, Dimitri, Brie, Paul, Dogariu, Mihai, Ştefan, Liviu Daniel, Constantin, Mihai Gabriel, Chamberlain, Jon, Campello, Antonio, Clark, Adrian, Oliver, Thomas A., Moustahfid, Hassan, Popescu, Adrian, Deshayes-Chossart, Jérôme, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Candan, K. Selçuk, editor, Ionescu, Bogdan, editor, Goeuriot, Lorraine, editor, Larsen, Birger, editor, Müller, Henning, editor, Joly, Alexis, editor, Maistro, Maria, editor, Piroi, Florina, editor, Faggioli, Guglielmo, editor, and Ferro, Nicola, editor

Published
2021
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17. The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications

Author

Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Abacha, Asma Ben, Demner-Fushman, Dina, Hasan, Sadid A., Sarrouti, Mourad, Pelka, Obioma, Friedrich, Christoph M., de Herrera, Alba G. Seco, Jacutprakart, Janadhip, Kovalev, Vassili, Kozlovski, Serge, Liauchuk, Vitali, Cid, Yashin Dicente, Chamberlain, Jon, Clark, Adrian, Campello, Antonio, Moustahfid, Hassan, Oliver, Thomas, Schulz, Abigail, Brie, Paul, Berari, Raul, Fichou, Dimitri, Tauteanu, Andrei, Dogariu, Mihai, Stefan, Liviu Daniel, Constantin, Mihai Gabriel, Deshayes, Jérôme, Popescu, Adrian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hiemstra, Djoerd, editor, Moens, Marie-Francine, editor, Mothe, Josiane, editor, Perego, Raffaele, editor, Potthast, Martin, editor, and Sebastiani, Fabrizio, editor

Published
2021
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18. Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications

Author

Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Abacha, Asma Ben, Datla, Vivek, Hasan, Sadid A., Demner-Fushman, Dina, Kozlovski, Serge, Liauchuk, Vitali, Cid, Yashin Dicente, Kovalev, Vassili, Pelka, Obioma, Friedrich, Christoph M., García Seco de Herrera, Alba, Ninh, Van-Tu, Le, Tu-Khiem, Zhou, Liting, Piras, Luca, Riegler, Michael, Halvorsen, Pål, Tran, Minh-Triet, Lux, Mathias, Gurrin, Cathal, Dang-Nguyen, Duc-Tien, Chamberlain, Jon, Clark, Adrian, Campello, Antonio, Fichou, Dimitri, Berari, Raul, Brie, Paul, Dogariu, Mihai, Ştefan, Liviu Daniel, Constantin, Mihai Gabriel, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Arampatzis, Avi, editor, Kanoulas, Evangelos, editor, Tsikrika, Theodora, editor, Vrochidis, Stefanos, editor, Joho, Hideo, editor, Lioma, Christina, editor, Eickhoff, Carsten, editor, Névéol, Aurélie, editor, Cappellato, Linda, editor, and Ferro, Nicola, editor

Published
2020
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19. ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications

Author

Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Dang-Nguyen, Duc-Tien, Zhou, Liting, Piras, Luca, Riegler, Michael, Halvorsen, Pål, Tran, Minh-Triet, Lux, Mathias, Gurrin, Cathal, Chamberlain, Jon, Clark, Adrian, Campello, Antonio, Seco de Herrera, Alba G., Ben Abacha, Asma, Datla, Vivek, Hasan, Sadid A., Liu, Joey, Demner-Fushman, Dina, Pelka, Obioma, Friedrich, Christoph M., Dicente Cid, Yashin, Kozlovski, Serge, Liauchuk, Vitali, Kovalev, Vassili, Berari, Raul, Brie, Paul, Fichou, Dimitri, Dogariu, Mihai, Stefan, Liviu Daniel, Constantin, Mihai Gabriel, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Jose, Joemon M., editor, Yilmaz, Emine, editor, Magalhães, João, editor, Castells, Pablo, editor, Ferro, Nicola, editor, Silva, Mário J., editor, and Martins, Flávio, editor

Published
2020
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21. ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature

Author

Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Cid, Yashin Dicente, Liauchuk, Vitali, Kovalev, Vassili, Klimuk, Dzmitri, Tarasau, Aleh, Abacha, Asma Ben, Hasan, Sadid A., Datla, Vivek, Liu, Joey, Demner-Fushman, Dina, Dang-Nguyen, Duc-Tien, Piras, Luca, Riegler, Michael, Tran, Minh-Triet, Lux, Mathias, Gurrin, Cathal, Pelka, Obioma, Friedrich, Christoph M., Garcìa Seco de Herrera, Alba, Garcia, Narciso, Kavallieratou, Ergina, del Blanco, Carlos Roberto, Cuevas, Carlos, Vasillopoulos, Nikos, Karampidis, Konstantinos, Chamberlain, Jon, Clark, Adrian, Campello, Antonio, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Crestani, Fabio, editor, Braschler, Martin, editor, Savoy, Jacques, editor, Rauber, Andreas, editor, Müller, Henning, editor, Losada, David E., editor, Heinatz Bürki, Gundula, editor, Cappellato, Linda, editor, and Ferro, Nicola, editor

Published
2019
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22. ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications

Author

Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Dang-Nguyen, Duc-Tien, Piras, Luca, Riegler, Michael, Tran, Minh-Triet, Lux, Mathias, Gurrin, Cathal, Cid, Yashin Dicente, Liauchuk, Vitali, Kovalev, Vassili, Ben Abacha, Asma, Hasan, Sadid A., Datla, Vivek, Liu, Joey, Demner-Fushman, Dina, Pelka, Obioma, Friedrich, Christoph M., Chamberlain, Jon, Clark, Adrian, de Herrera, Alba García Seco, Garcia, Narciso, Kavallieratou, Ergina, del Blanco, Carlos Roberto, Rodríguez, Carlos Cuevas, Vasillopoulos, Nikos, Karampidis, Konstantinos, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Azzopardi, Leif, editor, Stein, Benno, editor, Fuhr, Norbert, editor, Mayr, Philipp, editor, Hauff, Claudia, editor, and Hiemstra, Djoerd, editor

Published
2019
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23. Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation

Author

Ionescu, Bogdan, Müller, Henning, Villegas, Mauricio, García Seco de Herrera, Alba, Eickhoff, Carsten, Andrearczyk, Vincent, Dicente Cid, Yashin, Liauchuk, Vitali, Kovalev, Vassili, Hasan, Sadid A., Ling, Yuan, Farri, Oladimeji, Liu, Joey, Lungren, Matthew, Dang-Nguyen, Duc-Tien, Piras, Luca, Riegler, Michael, Zhou, Liting, Lux, Mathias, Gurrin, Cathal, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Bellot, Patrice, editor, Trabelsi, Chiraz, editor, Mothe, Josiane, editor, Murtagh, Fionn, editor, Nie, Jian Yun, editor, Soulier, Laure, editor, SanJuan, Eric, editor, Cappellato, Linda, editor, and Ferro, Nicola, editor

Published
2018
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24. Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

Author

Veta, Mitko, Heng, Yujing J., Stathonikos, Nikolas, Bejnordi, Babak Ehteshami, Beca, Francisco, Wollmann, Thomas, Rohr, Karl, Shah, Manan A., Wang, Dayong, Rousson, Mikael, Hedlund, Martin, Tellez, David, Ciompi, Francesco, Zerhouni, Erwan, Lanyi, David, Viana, Matheus, Kovalev, Vassili, Liauchuk, Vitali, Phoulady, Hady Ahmady, Qaiser, Talha, Graham, Simon, Rajpoot, Nasir, Sjöblom, Erik, Molin, Jesper, Paeng, Kyunghyun, Hwang, Sangheum, Park, Sunggyun, Jia, Zhipeng, Chang, Eric I-Chao, Xu, Yan, Beck, Andrew H., van Diest, Paul J., and Pluim, Josien P.W.

Published
2019
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25. Unmanned Aerial Vehicle (UAV): Back to Base Without Satellite Navigation

Author

Blazhko, Vladislav, Kalinovsky, Alexander, Kovalev, Vassili, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Krasnoproshin, Viktor V., editor, and Ablameyko, Sergey V., editor

Published
2017
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26. Highlighting Tumor Borders Using Generalized Gradient

Author

Kovalev, Vassili, Snezhko, Eduard, Kharuzhyk, Siarhei, Liauchuk, Vitali, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Krasnoproshin, Viktor V., editor, and Ablameyko, Sergey V., editor

Published
2017
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27. Overview of ImageCLEF 2017: Information Extraction from Images

Author

Ionescu, Bogdan, Müller, Henning, Villegas, Mauricio, Arenas, Helbert, Boato, Giulia, Dang-Nguyen, Duc-Tien, Dicente Cid, Yashin, Eickhoff, Carsten, Seco de Herrera, Alba G., Gurrin, Cathal, Islam, Bayzidul, Kovalev, Vassili, Liauchuk, Vitali, Mothe, Josiane, Piras, Luca, Riegler, Michael, Schwall, Immanuel, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Jones, Gareth J.F., editor, Lawless, Séamus, editor, Gonzalo, Julio, editor, Kelly, Liadh, editor, Goeuriot, Lorraine, editor, Mandl, Thomas, editor, Cappellato, Linda, editor, and Ferro, Nicola, editor

Published
2017
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30. A Method for Identification and Visualization of Histological Image Structures Relevant to the Cancer Patient Conditions

Author

Kovalev, Vassili, Dmitruk, Alexander, Safonau, Ihar, Frydman, Mikhail, Shelkovich, Sviatlana, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Real, Pedro, editor, Diaz-Pernil, Daniel, editor, Molina-Abril, Helena, editor, Berciano, Ainhoa, editor, and Kropatsch, Walter, editor

Published
2011
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31. Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Author

Roth, Holger R., primary, Xu, Ziyue, additional, Tor-Díez, Carlos, additional, Sanchez Jacob, Ramon, additional, Zember, Jonathan, additional, Molto, Jose, additional, Li, Wenqi, additional, Xu, Sheng, additional, Turkbey, Baris, additional, Turkbey, Evrim, additional, Yang, Dong, additional, Harouni, Ahmed, additional, Rieke, Nicola, additional, Hu, Shishuai, additional, Isensee, Fabian, additional, Tang, Claire, additional, Yu, Qinji, additional, Sölter, Jan, additional, Zheng, Tong, additional, Liauchuk, Vitali, additional, Zhou, Ziqi, additional, Moltz, Jan Hendrik, additional, Oliveira, Bruno, additional, Xia, Yong, additional, Maier-Hein, Klaus H., additional, Li, Qikai, additional, Husch, Andreas, additional, Zhang, Luyang, additional, Kovalev, Vassili, additional, Kang, Li, additional, Hering, Alessa, additional, Vilaça, João L., additional, Flores, Mona, additional, Xu, Daguang, additional, Wood, Bradford, additional, and Linguraru, Marius George, additional

Published
2022
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35. Mining Lung Shape from X-Ray Images

Author

Kovalev, Vassili, Prus, Aliaksandr, Vankevich, Pavel, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, and Perner, Petra, editor

Published
2009
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36. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

Author

Ehteshami Bejnordi, Babak, Veta, Mitko, Johannes van Diest, Paul, van Ginneken, Bram, Karssemeijer, Nico, Litjens, Geert, van der Laak, Jeroen A. W. M., Hermsen, Meyke, Manson, Quirine F, Balkenhol, Maschenka, Geessink, Oscar, Stathonikos, Nikolaos, van Dijk, Marcory CRF, Bult, Peter, Beca, Francisco, Beck, Andrew H, Wang, Dayong, Khosla, Aditya, Gargeya, Rishab, Irshad, Humayun, Zhong, Aoxiao, Dou, Qi, Li, Quanzheng, Chen, Hao, Lin, Huang-Jing, Heng, Pheng-Ann, Haß, Christian, Bruni, Elia, Wong, Quincy, Halici, Ugur, Öner, Mustafa Ümit, Cetin-Atalay, Rengul, Berseth, Matt, Khvatkov, Vitali, Vylegzhanin, Alexei, Kraus, Oren, Shaban, Muhammad, Rajpoot, Nasir, Awan, Ruqayya, Sirinukunwattana, Korsuk, Qaiser, Talha, Tsang, Yee-Wah, Tellez, David, Annuscheit, Jonas, Hufnagl, Peter, Valkonen, Mira, Kartasalo, Kimmo, Latonen, Leena, Ruusuvuori, Pekka, Liimatainen, Kaisa, Albarqouni, Shadi, Mungal, Bharti, George, Ami, Demirci, Stefanie, Navab, Nassir, Watanabe, Seiryo, Seno, Shigeto, Takenaka, Yoichi, Matsuda, Hideo, Ahmady Phoulady, Hady, Kovalev, Vassili, Kalinovsky, Alexander, Liauchuk, Vitali, Bueno, Gloria, Fernandez-Carrobles, M. Milagro, Serrano, Ismael, Deniz, Oscar, Racoceanu, Daniel, and Venâncio, Rui

Published
2017
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37. Asymmetry of SPECT Perfusion Image Patterns as a Diagnostic Feature for Alzheimer’s Disease

Author

Kovalev, Vassili A., Thurfjell, Lennart, Lundqvist, Roger, Pagani, Marco, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Larsen, Rasmus, editor, Nielsen, Mads, editor, and Sporring, Jon, editor

Published
2006
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38. Mining Dichromatic Colours from Video

Author

Kovalev, Vassili A., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, and Perner, Petra, editor

Published
2006
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39. Optimising the Choice of Colours of an Image Database for Dichromats

Author

Kovalev, Vassili, Petrou, Maria, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Perner, Petra, editor, and Imiya, Atsushi, editor

Published
2005
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41. Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Author

Roth, Holger R., Xu, Ziyue, Diez, Carlos Tor, Jacob, Ramon Sanchez, Zember, Jonathan, Molto, Jose, Li, Wenqi, Xu, Sheng, Turkbey, Baris, Turkbey, Evrim, Yang, Dong, Harouni, Ahmed, Rieke, Nicola, Hu, Shishuai, Isensee, Fabian, Tang, Claire, Yu, Qinji, Sölter, Jan, Zheng, Tong, Liauchuk, Vitali, Zhou, Ziqi, Moltz, Jan Hendrik, Oliveira, Bruno, Xia, Yong, Maier-Hein, Klaus H., Li, Qikai, Husch, Andreas, Zhang, Luyang, Kovalev, Vassili, Kang, Li, Hering, Alessa, Vilaça, João L., Flores, Mona, Xu, Daguang, Wood, Bradford, Linguraru, Marius George, Roth, Holger R., Xu, Ziyue, Diez, Carlos Tor, Jacob, Ramon Sanchez, Zember, Jonathan, Molto, Jose, Li, Wenqi, Xu, Sheng, Turkbey, Baris, Turkbey, Evrim, Yang, Dong, Harouni, Ahmed, Rieke, Nicola, Hu, Shishuai, Isensee, Fabian, Tang, Claire, Yu, Qinji, Sölter, Jan, Zheng, Tong, Liauchuk, Vitali, Zhou, Ziqi, Moltz, Jan Hendrik, Oliveira, Bruno, Xia, Yong, Maier-Hein, Klaus H., Li, Qikai, Husch, Andreas, Zhang, Luyang, Kovalev, Vassili, Kang, Li, Hering, Alessa, Vilaça, João L., Flores, Mona, Xu, Daguang, Wood, Bradford, and Linguraru, Marius George

Abstract

Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19 lesions in chest computed tomography (CT) might play an important role in the monitoring and management of the disease. We organized an international challenge and competition for the development and comparison of AI algorithms for this task, which we supported with public data and state-of-the-art benchmark methods. Board Certified Radiologists annotated 295 public images from two sources (A and B) for algorithms training (n=199, source A), validation (n=50, source A) and testing (n=23, source A; n=23, source B). There were 1,096 registered teams of which 225 and 98 completed the validation and testing phases, respectively. The challenge showed that AI models could be rapidly designed by diverse teams with the potential to measure disease or facilitate timely and patient-specific interventions. This paper provides an overview and the major outcomes of the COVID-19 Lung CT Lesion Segmentation Challenge - 2020.

Published
2022

46. Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge

Author

Roth, Holger, primary, Xu, Ziyue, additional, Diez, Carlos Tor, additional, Jacob, Ramon Sanchez, additional, Zember, Jonathan, additional, Molto, Jose, additional, Li, Wenqi, additional, Xu, Sheng, additional, Turkbey, Baris, additional, Turkbey, Evrim, additional, Yang, Dong, additional, Harouni, Ahmed, additional, Rieke, Nicola, additional, Hu, Shishuai, additional, Isensee, Fabian, additional, Tang, Claire, additional, Yu, Qinji, additional, Sölter, Jan, additional, Zheng, Tong, additional, Liauchuk, Vitali, additional, Zhou, Ziqi, additional, Moltz, Jan, additional, Oliveira, Bruno, additional, Xia, Yong, additional, Maier-Hein, Klaus, additional, Li, Qikai, additional, Husch, Andreas, additional, Zhang, Luyang, additional, Kovalev, Vassili, additional, Kang, Li, additional, Hering, Alessa, additional, Vilaça, João, additional, Flores, Mona, additional, Xu, Daguang, additional, Wood, Bradford, additional, and Linguraru, Marius, additional

Published
2021
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47. Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

Author

Roth, Holger, Xu, Ziyue, Diez, Carlos Tor, Jacob, Ramon Sanchez, Zember, Jonathan, Molto, Jose, Li, Wenqi, Xu, Sheng, Turkbey, Baris, Turkbey, Evrim, Yang, Dong, Harouni, Ahmed, Rieke, Nicola, Hu, Shishuai, Isensee, Fabian, Tang, Claire, Yu, Qinji, Sölter, Jan, Zheng, Tong, Liauchuk, Vitali, Zhou, Ziqi, Moltz, Jan, Oliveira, Bruno, Xia, Yong, Maier-Hein, Klaus, Li, Qikai, Husch, Andreas, Zhang, Luyang, Kovalev, Vassili, Kang, Li, Hering, Alessa, Vilaça, João, Flores, Mona, Xu, Daguang, Wood, Bradford, Linguraru, Marius, Roth, Holger, Xu, Ziyue, Diez, Carlos Tor, Jacob, Ramon Sanchez, Zember, Jonathan, Molto, Jose, Li, Wenqi, Xu, Sheng, Turkbey, Baris, Turkbey, Evrim, Yang, Dong, Harouni, Ahmed, Rieke, Nicola, Hu, Shishuai, Isensee, Fabian, Tang, Claire, Yu, Qinji, Sölter, Jan, Zheng, Tong, Liauchuk, Vitali, Zhou, Ziqi, Moltz, Jan, Oliveira, Bruno, Xia, Yong, Maier-Hein, Klaus, Li, Qikai, Husch, Andreas, Zhang, Luyang, Kovalev, Vassili, Kang, Li, Hering, Alessa, Vilaça, João, Flores, Mona, Xu, Daguang, Wood, Bradford, and Linguraru, Marius

Abstract

Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19 lesions in chest computed tomography (CT) might play an important role in the monitoring and management of the disease. We organized an international challenge and competition for the development and comparison of AI algorithms for this task, which we supported with public data and state-of-the-art benchmark methods. Board Certified Radiologists annotated 295 public images from two sources (A and B) for algorithms training (n=199, source A), validation (n=50, source A) and testing (n=23, source A; n=23, source B). There were 1,096 registered teams of which 225 and 98 completed the validation and testing phases, respectively. The challenge showed that AI models could be rapidly designed by diverse teams with the potential to measure disease or facilitate timely and patient-specific interventions. This paper provides an overview and the major outcomes of the COVID-19 Lung CT Lesion Segmentation Challenge - 2020.

Published
2021

48. Texture anisotropy of the brain's white matter as revealed by anatomical MRI

Author

Kovalev, Vassili and Kruggel, Frithjof

Subjects
Magnetic resonance imaging -- Usage, Anisotropy -- Research, Brain -- Research, Business, Electronics, Electronics and electrical industries, Health care industry
Abstract

The purpose of this work was to study specific texture properties of the brain's white matter (WM) based on conventional high-resolution [T.sub.1]-weighted magnetic resonance imaging (MRI) datasets. Quantitative parameters anisotropy and laminarity were derived from 3-D texture analysis. Differences in WM texture associated with gender were evaluated on an age-matched sample of 210 young healthy subjects (mean age 24.8, SD 3.97 years, 103 males and 107 females). Changes of WM texture with age were studied using 112 MRI-[T.sub.1] datasets of healthy subjects aged 16 to 70 years (57 males and 55 females). Both texture measures indicated a 'more regular' WM structure in females (p < [10-.sup.6]). An age-related deterioration of WM structure manifests itself as a remarkable decline of both parameters (p < [10.sup.-6]) that is more prominent in females (p < [10.sup.-6]) than in males (p = 0.02). Texture analysis of anatomical MRI-[T.sub.1] brain datasets provides quantitative information about macroscopic WM characteristics and helps discriminating between normal and pathological aging. Index Terms--Age, anisotropy, gender, magnetic resonance imaging (MRI), texture, white matter (WM).

Published
2007

49. Three-dimensional nonlinear invisible boundary detection

Author

Petrou, Maria, Kovalev, Vassili A., and Reichenbach, Jurgen R.

Subjects
Edge detection (Image processing) -- Methods, Magnetic resonance imaging -- Methods, Nonlinear theories -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Abstract

An algorithm designed to reveal invisible boundaries in gray level images by computing gradients in the third- or fourth-order statistics of the data is presented. A model driven approach is used to demonstrate the algorithm by applying it to the identification of possible 'hidden' boundaries of glioblastomas as manifested in three-dimensional (3-D) MRI scans.

Published
2006

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