Mitko Veta - RankMe

89 papers B 3Journal 58Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-driven Synthesis of Magnetic Resonance Spectroscopy Data using a Variational Autoencoder. CoRR Dennis M. J. van de Sande, Julian P. Merkofer, Sina Amirrajab, Mitko Veta, Gerhard S. Drenthen, Jacobus F. A. Jansen, Marcel Breeuwer
2025	J	`jnl`	A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology. CoRR Hassan Keshvarikhojasteh, Mihail Tifrea, Sibylle Hess, Josien P. W. Pluim, Mitko Veta
2025	J	`jnl`	Adaptive Prototype Learning for Multimodal Cancer Survival Analysis. CoRR Hong Liu, Haosen Yang, Federica Eduati, Josien P. W. Pluim, Mitko Veta
2025	J	`jnl`	Artificial Intelligence-Based Classification of Spitz Tumors. CoRR Ruben T. Lucassen, Marjanna Romers, Chiel F. Ebbelaar, Aia N. Najem, Donal P. Hayes, Antien L. Mooyaart, Sara Roshani, Liliane C. D. Wynaendts, Nikolas Stathonikos, Gerben E. Breimer, Anne M. L. Jansen, Mitko Veta, Willeke A. M. Blokx
2025	J	`jnl`	On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation. CoRR Ruben T. Lucassen, Tijn van de Luijtgaarden, Sander P. J. Moonemans, Gerben E. Breimer, Willeke A. M. Blokx, Mitko Veta
2025	—	`conf`	PathoPainter: Augmenting Histopathology Segmentation via Tumor-Aware Inpainting. MICCAI (16) Hong Liu, Haosen Yang, Evi M. C. Huijben, Mark Schuiveling, Ruisheng Su, Josien P. W. Pluim, Mitko Veta
2025	J	`jnl`	PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting. CoRR Hong Liu, Haosen Yang, Evi M. C. Huijben, Mark Schuiveling, Ruisheng Su, Josien P. W. Pluim, Mitko Veta
2025	—	`conf`	Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions. MICCAI (6) Ruben T. Lucassen, Sander P. J. Moonemans, Tijn van de Luijtgaarden, Gerben E. Breimer, Willeke A. M. Blokx, Mitko Veta
2025	J	`jnl`	Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions. CoRR Ruben T. Lucassen, Sander P. J. Moonemans, Tijn van de Luijtgaarden, Gerben E. Breimer, Willeke A. M. Blokx, Mitko Veta
2024	—	`conf`	Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection. Bildverarbeitung für die Medizin Marc Aubreville, Frauke Wilm, Nikolas Stathonikos, Katharina Breininger, Taryn A. Donovan, Samir Jabari, Robert Klopfleisch, Mitko Veta, Jonathan Ganz, Jonas Ammeling, Paul J. van Diest, Christof A. Bertram
2024	J	`jnl`	Artificial Intelligence-Based Triaging of Cutaneous Melanocytic Lesions. CoRR Ruben T. Lucassen, Nikolas Stathonikos, Gerben E. Breimer, Mitko Veta, Willeke A. M. Blokx
2024	J	`jnl`	Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Çayir, Hongyan Gu, Xiang Anthony Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2024	J	`jnl`	LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi
2024	—	`conf`	Multi-head Attention-based Deep Multiple Instance Learning. COMPAY@MICCAI Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta
2024	J	`jnl`	Multi-head Attention-based Deep Multiple Instance Learning. CoRR Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta
2024	J	`jnl`	Multiple Instance Learning with random sampling for Whole Slide Image Classification. CoRR Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta
2024	—	`conf`	Preprocessing Pathology Reports for Vision-Language Model Development. COMPAY@MICCAI Ruben T. Lucassen, Tijn van de Luijtgaarden, Sander P. J. Moonemans, Willeke A. M. Blokx, Mitko Veta
2024	—	`ed.`	Proceedings of the MICCAI Workshop on Computational Pathology, Marrakesh, Morocco, 6 October 2024. COMPAY@MICCAI Francesco Ciompi, Nadieh Khalili, Linda Studer, Milda Poceviciute, Amjad Khan, Mitko Veta, Yiping Jiao, Neda Haj-Hosseini, Hao Chen, Shan Raza, Fayyaz Minhas, Inti Zlobec, Nikolay Burlutskiy, Veronica Vilaplana, Biagio Brattoli, Henning Müller, Manfredo Atzori
2024	J	`jnl`	Tissue Cross-Section and Pen Marking Segmentation in Whole Slide Images. CoRR Ruben T. Lucassen, Willeke A. M. Blokx, Mitko Veta
2024	—	`conf`	WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images. COMPAY@MICCAI Hong Liu, Haosen Yang, Paul J. van Diest, Josien P. W. Pluim, Mitko Veta
2024	J	`jnl`	WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images. CoRR Hong Liu, Haosen Yang, Paul J. van Diest, Josien P. W. Pluim, Mitko Veta
2023	J	`jnl`	A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge. CoRR Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab, Gerhard S. Drenthen, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, Ruud J. G. van Sloun
2023	—	`conf`	Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. Bildverarbeitung für die Medizin Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Mitko Veta, Katharina Breininger
2023	J	`jnl`	Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. IEEE J. Biomed. Health Informatics Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan, Nick Jowkar, Alireza Mehrtash, Chanel E. Fischetti, Denie Bernier, Kira Prentice, Erik P. Duhaime, Mike Jin, Purang Abolmaesumi, Friso G. Heslinga, Mitko Veta, Maria Alejandra Duran Mendicuti, Sarah F. Frisken, Paul B. Shyn, Alexandra J. Golby, Edward W. Boyer, William M. Wells III, Andrew J. Goldsmith, Tina Kapur
2023	J	`jnl`	Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2023	J	`jnl`	LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi
2023	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger
2022	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger
2022	J	`jnl`	Optimized automated cardiac MR scar quantification with GAN-based data augmentation. Comput. Methods Programs Biomed. Didier R. P. R. M. Lustermans, Sina Amirrajab, Mitko Veta, Marcel Breeuwer, Cian M. Scannell
2022	J	`jnl`	Physics-informed neural networks for myocardial perfusion MRI quantification. Medical Image Anal. Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell
2021	J	`jnl`	Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bart Liefers, Bram van Ginneken, Josien P. W. Pluim, Mitko Veta, Clara I. Sánchez, Marleen de Bruijne
2021	J	`jnl`	Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty. CoRR Friso G. Heslinga, Ruben T. Lucassen, Myrthe A. van den Berg, Luuk van der Hoek, Josien P. W. Pluim, Javier Cabrerizo, Mark Alberti, Mitko Veta
2021	J	`jnl`	Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI. IEEE Trans. Biomed. Eng. Coen de Vente, Pieter Vos, Matin Hosseinzadeh, Josien P. W. Pluim, Mitko Veta
2021	J	`jnl`	Editorial Computational Pathology. IEEE J. Biomed. Health Informatics Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot
2021	J	`jnl`	Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols. IEEE Trans. Biomed. Eng. Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel
2021	—	`ed.`	MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event COMPAY@MICCAI Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz A. Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec
2021	J	`jnl`	Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
2021	J	`jnl`	Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation. CoRR Didier R. P. R. M. Lustermans, Sina Amirrajab, Mitko Veta, Marcel Breeuwer, Cian M. Scannell
2021	J	`jnl`	Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. CoRR Marc Aubreville, Christof Bertram, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie D. ter Hoeve, Francesco Ciompi, Andreas Maier
2021	—	`conf`	Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans. OMIA@MICCAI Bram M. van der Velden, Mitko Veta, Josien P. W. Pluim, Mark Alberti, Friso G. Heslinga
2021	J	`jnl`	Roto-translation equivariant convolutional networks: Application to histopathology image analysis. Medical Image Anal. Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta
2020	J	`jnl`	A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao
2020	J	`jnl`	Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR Suzanne C. Wetstein, Cristina González-Gonzalo, Gerda Bortsova, Bart Liefers, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bram van Ginneken, Josien P. W. Pluim, Marleen de Bruijne, Clara I. Sánchez, Mitko Veta
2020	—	`conf`	Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels. iMIMIC/MIL3ID/LABELS@MICCAI Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas K. Maier, Robert Klopfleisch, Marc Aubreville
2020	J	`jnl`	Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels. CoRR Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas K. Maier, Robert Klopfleisch, Marc Aubreville
2020	J	`jnl`	Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images. CoRR Suzanne C. Wetstein, Nikolas Stathonikos, Josien P. W. Pluim, Yujing J. Heng, Natalie D. ter Hoeve, Celien P. H. Vreuls, Paul J. van Diest, Mitko Veta
2020	—	`conf`	Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study. Computer-Aided Diagnosis Friso G. Heslinga, Josien P. W. Pluim, A. J. H. M. Houben, Miranda T. Schram, Ronald M. A. Henry, Coen D. A. Stehouwer, Marleen J. van Greevenbroek, Tos T. J. M. Berendschot, Mitko Veta
2020	—	`conf`	Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation. M&Ms and EMIDEC/STACOM@MICCAI Cian M. Scannell, Amedeo Chiribiri, Mitko Veta
2020	J	`jnl`	Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation. CoRR Cian M. Scannell, Amedeo Chiribiri, Mitko Veta
2020	J	`jnl`	Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology. CoRR Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta
2020	J	`jnl`	Physics-informed neural networks for myocardial perfusion MRI quantification. CoRR Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell
2020	J	`jnl`	Progressively Trained Convolutional Neural Networks for Deformable Image Registration. IEEE Trans. Medical Imaging Koen A. J. Eppenhof, Maxime W. Lafarge, Mitko Veta, Josien P. W. Pluim
2020	J	`jnl`	Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks. CoRR Friso G. Heslinga, Mark Alberti, Josien P. W. Pluim, Javier Cabrerizo, Mitko Veta
2020	J	`jnl`	Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis. CoRR Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta
2020	—	`conf`	Segmentation and Classification of Melanoma and Nevus in Whole Slide Images. ISBI Mike van Zon, Nikolas Stathonikos, Willeke A. M. Blokx, Selim Komina, Sybren L. N. Maas, Josien P. W. Pluim, Paul J. van Diest, Mitko Veta
2019	B	`conf`	Approximation of a pipeline of unsupervised retina image analysis methods with a CNN. Image Processing Friso G. Heslinga, Josien P. W. Pluim, Behdad Dashtbozorg, Tos T. J. M. Berendschot, A. J. H. M. Houben, Ronald M. A. Henry, Mitko Veta
2019	B	`conf`	Automatic cardiac landmark localization by a recurrent neural network. Image Processing Mike van Zon, Mitko Veta, Shuo Li
2019	—	`conf`	Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning. MIDL Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter, Josien P. W. Pluim, Shantanu Singh, Mitko Veta
2019	J	`jnl`	Corrigendum to "Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge" [Medical Image Analysis, 54 (2019) 111-121]. Medical Image Anal. Mitko Veta
2019	—	`ch.`	Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis. Automated Reasoning for Systems Biology and Medicine Dragan Bosnacki, Natal A. W. van Riel, Mitko Veta
2019	J	`jnl`	Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. CoRR Suzanne C. Wetstein, Allison M. Onken, Christina Luffman, Gabrielle M. Baker, Michael E. Pyle, Kevin H. Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B. van Leeuwen, Laura C. Collins, Stuart J. Schnitt, Josien P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta
2019	J	`jnl`	Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI. CoRR Cian M. Scannell, Piet van den Bosch, Amedeo Chiribiri, Jack Lee, Marcel Breeuwer, Mitko Veta
2019	—	`conf`	Detection of acini in histopathology slides: towards automated prediction of breast cancer risk. Digital Pathology Suzanne C. Wetstein, Allison M. Onken, Gabrielle M. Baker, Michael E. Pyle, Josien P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta
2019	—	`ed.`	Digital Pathology - 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings ECDP Constantino Carlos Reyes-Aldasoro, Andrew Janowczyk, Mitko Veta, Peter Bankhead, Korsuk Sirinukunwattana
2019	J	`jnl`	Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study. CoRR Friso G. Heslinga, Josien P. W. Pluim, A. J. H. M. Houben, Miranda T. Schram, Ronald M. A. Henry, Coen D. A. Stehouwer, Marleen J. van Greevenbroek, Tos T. J. M. Berendschot, Mitko Veta
2019	J	`jnl`	Intensity augmentation for domain transfer of whole breast segmentation in MRI. CoRR Linde S. Hesse, Grey Kuling, Mitko Veta, Anne L. Martel
2019	J	`jnl`	Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim
2018	—	`ed.`	Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings COMPAY/OMIA@MICCAI Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne L. Martel, Lena Maier-Hein, Nasir M. Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen J. McKenna, David R. J. Snead, Emanuele Trucco, Mona Kathryn Garvin, Xinjian Chen, Hrvoje Bogunovic
2018	—	`conf`	Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images. STACOM@MICCAI Coen de Vente, Mitko Veta, Orod Razeghi, Steven A. Niederer, Josien P. W. Pluim, Kawal S. Rhode, Rashed Karim
2018	B	`conf`	Deformable image registration using convolutional neural networks. Image Processing Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim
2018	J	`jnl`	Inferring a Third Spatial Dimension from 2D Histological Images. CoRR Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2018	—	`conf`	Inferring a third spatial dimension from 2D histological images. ISBI Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2018	J	`jnl`	Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
2018	—	`conf`	Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. MICCAI (1) Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
2018	J	`jnl`	Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. CoRR Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
2017	—	`conf`	Adversarial Training and Dilated Convolutions for Brain MRI Segmentation. DLMIA/ML-CDS@MICCAI Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
2017	J	`jnl`	Adversarial training and dilated convolutions for brain MRI segmentation. CoRR Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
2017	—	`conf`	Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images. DLMIA/ML-CDS@MICCAI Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2017	J	`jnl`	Domain-adversarial neural networks to address the appearance variability of histopathology images. CoRR Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2017	—	`conf`	Exploring the Similarity of Medical Imaging Classification Problems. CVII-STENT/LABELS@MICCAI Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien P. W. Pluim
2017	J	`jnl`	Exploring the similarity of medical imaging classification problems. CoRR Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dasht Bozorg, Josien P. W. Pluim
2016	—	`conf`	Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation. MICCAI (2) Mitko Veta, Paul J. van Diest, Josien P. W. Pluim
2016	J	`jnl`	Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation. CoRR Mitko Veta, Paul J. van Diest, Josien P. W. Pluim
2015	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
2014	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. CoRR Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
2014	J	`jnl`	Breast Cancer Histopathology Image Analysis: A Review. IEEE Trans. Biomed. Eng. Mitko Veta, Josien P. W. Pluim, Paul J. van Diest, Max A. Viergever
2014	J	`jnl`	Corrections to "Breast Cancer Histopathology Image Analysis: A Review". IEEE Trans. Biomed. Eng. Mitko Veta, Josien P. W. Pluim, Paul J. van Diest, Max A. Viergever
2013	—	`conf`	Detecting mitotic figures in breast cancer histopathology images. Digital Pathology Mitko Veta, Paul J. van Diest, Josien P. W. Pluim
2011	—	`conf`	Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images. ISBI Mitko Veta, A. Huisman, Max A. Viergever, Paul J. van Diest, Josien P. W. Pluim