Marek Wodzinski

88 papers A* 2Journal 45Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy. IEEE Trans. Medical Imaging Rina Bao, Anna N. Foster, Ya'Nan Song, Rutvi Vyas, Ankush Kesri, Imad Eddine Toubal, Elham Soltani Kazemi, Gani Rahmon, Taci Kucukpinar, Mohamed Almansour, Mai-Lan Ho, Kannappan Palaniappan, Dean Ninalga, Chiranjeewee Prasad Koirala, Sovesh Mohapatra, Gottfried Schlaug, Marek Wodzinski, Henning Müller, David G. Ellis, Michele R. Aizenberg, M. Arda Aydin, Elvin Abdinli, Gozde Unal, Nazanin Tahmasebi, Kumaradevan Punithakumar, Tian Song, Yun Peng, Sara V. Bates, Randy Hirschtick, Patricia Ellen Grant, Yangming Ou
2026	A*	`conf`	Multimodal Analysis of Speech-Gaze Fusion in Mixed Reality for the Detection of Neurodegenerative Disorders. VR Milosz Dudek, Jakub Sikora, Daria Hemmerling, Mateusz Daniol, Marek Wodzinski, Magdalena Wójcik-Pedziwiatr
2025	J	`jnl`	3-D Image-to-Image Fusion in Lightsheet Microscopy by Two-Step Adversarial Network: Contribution to the FuseMyCells Challenge. CoRR Marek Wodzinski, Henning Müller
2025	—	`conf`	3-D Image-to-Image Fusion in Lightsheet Microscopy by Two-Step Adversarial Network: Contribution to the Fusemycells Challenge. ISBI Marek Wodzinski, Henning Müller
2025	—	`conf`	Applying Multimodal Mixed Reality System for Classifying Parkinson's Disease: Design and Evaluation of the Voice Module. VR Workshops Joanna Stepien, Milosz Dudek, Marek Wodzinski, Mateusz Daniol, Magdalena Igras-Cybulska, Magdalena Wójcik-Pedziwiatr, Daria Hemmerling
2025	J	`jnl`	Automated determination of hip arthrosis on the Kellgren-Lawrence scale in pelvic digital radiographs scans using machine learning. Comput. Methods Programs Biomed. Karolina Nurzynska, Marek Wodzinski, Adam Piórkowski, Michal Strzelecki, Rafal Obuchowicz, Pawel Kaminski
2025	J	`jnl`	Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023. CoRR Myrthe A. D. Buser, D. C. Simons, M. Fitski, Marc H. W. A. Wijnen, A. S. Littooij, A. H. ter Brugge, Iris N. Vos, Markus H. A. Janse, M. den Boer, R. ter Maat, Junya Sato, S. Kido, Satoshi Kondo, Satoshi Kasai, Marek Wodzinski, Henning Müller, Jin Ye, Junjun He, Yannick Kirchhoff, M. R. Rokkus, G. Haokai, S. Zitong, M. Fernández-Patón, Diana Veiga Canuto, D. G. Ellis, Michele R. Aizenberg, Bas H. M. van der Velden, Hugo J. Kuijf, A. De Luca, Alida F. W. van der Steeg
2025	J	`jnl`	Automatic skull reconstruction by deep learnable symmetry enforcement. Comput. Methods Programs Biomed. Marek Wodzinski, Mateusz Daniol, Daria Hemmerling
2025	—	`conf`	Designing Accessible XR for Neurodegenerative Disease Patients: Insights from Parkinson's Disease Case Study. VR Workshops Daria Hemmerling, Pawel Jemiolo, Mateusz Daniol, Marek Wodzinski, Jakub Kaminski, Magdalena Igras-Cybulska, Magdalena Wójcik-Pedziwiatr
2025	J	`jnl`	Gait analysis in mixed reality for Parkinson's disease assessment. Biomed. Signal Process. Control. Daria Hemmerling, Marta Kaczmarska, Bartlomiej Krawczyk, Milosz Dudek, Mateusz Daniol, Pawel Jemiolo, Marek Wodzinski, Magdalena Wójcik-Pedziwiatr
2025	—	`conf`	Improving AI Interpretability for Multilingual Parkinson’s Disease Classification through Voice Analysis. AAAI Bridge Program Daria Hemmerling, Michal Zakrzewski, Marek Wodzinski, Milosz Dudek, Filip Gaciarz, Magdalena Wójcik-Pedziwiatr, Juan Rafael Orozco-Arroyave, Elmar Nöth, Dávid Sztahó, Taras Rumezhak
2025	J	`jnl`	Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges. CoRR Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Jiazheng Wang, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra J. Golby, Aaron Carass, Harrison X. Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich
2025	J	`jnl`	Mixed-Reality System for Neurodegenerative Disorders: Design, Implementation, and User Evaluation. IEEE Pervasive Comput. Daria Hemmerling, Pawel Jemiolo, Mateusz Daniol, Marek Wodzinski, Milosz Dudek, Marta Kaczmarska, Kinga Jasiewicz, Magdalena Igras-Cybulska, Jakub Kaminski, Magdalena Wójcik-Pedziwiatr
2025	J	`jnl`	Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. CoRR Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R. Ueland, Michael J. Fassler, Jinlong Huang, Xiao Sun, Lisheng Wang, Pengcheng Shi, Maximilian Rokuss, Michael Baumgartner, Yannick Kirchhoff, Klaus H. Maier-Hein, Fabian Isensee, Shuolin Liu, Bing Han, Bong Thanh Nguyen, Dong-jin Shin, Park Ji-Woo, Mathew Choi, Kwang-Hyun Uhm, Sung-Jea Ko, Chanwoong Lee, Jaehee Chun, Jin Sung Kim, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, Zhaohong Pan, Xuan Liu, XiaoKun Liang, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Rostislav Epifanov, Marek Wodzinski, Henning Müller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Zhiwei Wang, Kaixiang Yang, Jintao Ren, Stine Sofia Korreman, Yuchong Gao, Hongye Zeng, Haoyu Zheng, Rui Zheng, Jinghua Yue, Fugen Zhou, Bo Liu, Alexander Cosman, Muxuan Liang, Chang Zhao, Gilbert R. Upchurch Jr., Jun Ma, Yuyin Zhou, Michol A. Cooper, Wei Shao
2025	—	`conf`	Multi-step Segmentation of Pelvic Fractures: Handling Variable Fracture Counts Through Anatomical and Surface Analysis. ISIC@MICCAI Artur Jurgas, Maciej Stanuch, Marek Wodzinski, Andrzej Skalski
2025	J	`jnl`	Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge. IEEE Trans. Medical Imaging Federico Bolelli, Luca Lumetti, Shankeeth Vinayahalingam, Mattia Di Bartolomeo, Arrigo Pellacani, Kevin Marchesini, Niels van Nistelrooij, Pieter van Lierop, Tong Xi, Yusheng Liu, Rui Xin, Tao Yang, Lisheng Wang, Haoshen Wang, Chenfan Xu, Zhiming Cui, Marek Wodzinski, Henning Müller, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Jae-Hwan Han, Wan Kim, Hong-Gi Ahn, Tomasz Szczepanski, Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Vicent Caselles Costa, Xavier Paolo Burgos-Artizzu, Ferran Prados Carrasco, Stefaan Berge', Bram van Ginneken, Alexandre Anesi, Costantino Grana
2025	J	`jnl`	Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions: An Overview of the SEG.A. 2023 Segmentation of the Aorta Challenge. CoRR Yuan Jin, Antonio Pepe, Gian Marco Melito, Yuxuan Chen, Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang, Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu, Ayman El-Ghotni, Mohamed Nabil, Hossam El-Kady, Ahmed Ayyad, Amr Nasr, Marek Wodzinski, Henning Müller, Hyeongyu Kim, Yejee Shin, Abbas Khan, Muhammad Asad, Alexander M. Zolotarev, Caroline H. Roney, Anthony Mathur, Martin Benning, Gregory G. Slabaugh, Theodoros P. Vagenas, Konstantinos Georgas, George K. Matsopoulos, Jihan Zhang, Zhen Zhang, Liqin Huang, Christian Mayer, Heinrich Mächler, Jan Egger
2024	—	`conf`	Augmented Reality Platform for Neurological Evaluations. INI-DH@AVI Daria Hemmerling, Mateusz Daniol, Marek Wodzinski, Joanna Stepien, Pawel Jemiolo, Marta Kaczmarska, Jakub Kaminski, Magdalena Wójcik-Pedziwiatr
2024	—	`conf`	Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders. EMBC Marek Wodzinski, Daria Hemmerling, Mateusz Daniol
2024	J	`jnl`	Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders. CoRR Marek Wodzinski, Daria Hemmerling, Mateusz Daniol
2024	J	`jnl`	Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning. CoRR Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris, Simon Püttmann, Marek Wodzinski, Riccardo Fratti, Damian Podareanu, Alessandro Caputo, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Gianmaria Silvello, Manfredo Atzori, Henning Müller
2024	—	`conf`	Automatic Multi-structure Segmentation in Cone Beam Computed Tomography Volumes Using Deep Encoder-Decoder Architectures. ToothFairy/3DTeethLand/STS@MICCAI Marek Wodzinski, Henning Müller
2024	—	`conf`	Automatic Registration of SHG and H&E Images with Feature-Based Initial Alignment and Intensity-Based Instance Optimization: Contribution to the COMULIS Challenge. WBIR Marek Wodzinski, Henning Müller
2024	J	`jnl`	Automatic Registration of SHG and H&E Images with Feature-based Initial Alignment and Intensity-based Instance Optimization: Contribution to the COMULIS Challenge. CoRR Marek Wodzinski, Henning Müller
2024	J	`jnl`	Automatic Skull Reconstruction by Deep Learnable Symmetry Enforcement. CoRR Marek Wodzinski, Mateusz Daniol, Daria Hemmerling
2024	—	`conf`	Benchmark of Deep Encoder-Decoder Architectures for Head and Neck Tumor Segmentation in Magnetic Resonance Images: Contribution to the HNTSMRG Challenge. HNTS-MRG@MICCAI Marek Wodzinski
2024	—	`conf`	Data-Centric Multiclass Aortic Segmentation: Revisiting Classical Architectures in Low-Data Regimes. AortaSeg@MICCAI Marek Wodzinski, Henning Müller
2024	J	`jnl`	Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies. CoRR Monika Górka, Daniel Jaworek, Marek Wodzinski
2024	J	`jnl`	DeeperHistReg: Robust Whole Slide Images Registration Framework. CoRR Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
2024	—	`conf`	EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability. ICCS (3) Adam Sulek, Jakub Jonczyk, Patryk Orzechowski, Ahmed Abdeen Hamed, Marek Wodzinski
2024	—	`conf`	Eye-tracking in Mixed Reality for Diagnosis of Neurodegenerative Diseases. EMBC Mateusz Daniol, Daria Hemmerling, Jakub Sikora, Pawel Jemiolo, Marek Wodzinski, Magdalena Wójcik-Pedziwiatr
2024	J	`jnl`	Eye-tracking in Mixed Reality for Diagnosis of Neurodegenerative Diseases. CoRR Mateusz Daniol, Daria Hemmerling, Jakub Sikora, Pawel Jemiolo, Marek Wodzinski, Magdalena Wójcik-Pedziwiatr
2024	J	`jnl`	Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models. CoRR Marek Wodzinski, Kamil Kwarciak, Mateusz Daniol, Daria Hemmerling
2024	J	`jnl`	Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation. CoRR Artur Jurgas, Marek Wodzinski, Marina D'Amato, Jeroen van der Laak, Manfredo Atzori, Henning Müller
2024	J	`jnl`	Improving deep learning-based automatic cranial defect reconstruction by heavy data augmentation: From image registration to latent diffusion models. Comput. Biol. Medicine Marek Wodzinski, Kamil Kwarciak, Mateusz Daniol, Daria Hemmerling
2024	—	`conf`	Multimodal Approach for the Diagnosis of Neurodegenerative Disorders Using Augmented Reality. VR Workshops Daria Hemmerling, Pawel Jemiolo, Mateusz Daniol, Marek Wodzinski, Jakub Kaminski, Magdalena Wójcik-Pedziwiatr
2024	J	`jnl`	Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning. Medical Image Anal. Niccolò Marini, Stefano Marchesin, Marek Wodzinski, Alessandro Caputo, Damian Podareanu, Bryan Cardenas Guevara, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori
2024	—	`conf`	Patch-Based Encoder-Decoder Architecture For Automatic Transmitted Light To Fluorescence Imaging Transition: Contribution To The Lightmycells Challenge. ISBI Marek Wodzinski, Henning Müller
2024	J	`jnl`	Patch-Based Encoder-Decoder Architecture for Automatic Transmitted Light to Fluorescence Imaging Transition: Contribution to the LightMyCells Challenge. CoRR Marek Wodzinski, Henning Müller
2024	J	`jnl`	RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge. CoRR Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
2024	J	`jnl`	RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge. Comput. Methods Programs Biomed. Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
2024	J	`jnl`	The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
2024	—	`conf`	Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation. ACCV Workshops (1) Kamil Kwarciak, Mateusz Daniol, Daria Hemmerling, Marek Wodzinski
2024	J	`jnl`	Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation. CoRR Kamil Kwarciak, Mateusz Daniol, Daria Hemmerling, Marek Wodzinski
2023	—	`conf`	Artifact Augmentation for Learning-based Quality Control of Whole Slide Images. EMBC Artur Jurgas, Marek Wodzinski, Weronika Celniak, Manfredo Atzori, Henning Müller
2023	—	`conf`	Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge. SEG.A@MICCAI Marek Wodzinski, Henning Müller
2023	J	`jnl`	Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge. CoRR Marek Wodzinski, Henning Müller
2023	J	`jnl`	Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.
2023	J	`jnl`	DRU-Net: Pulmonary Artery Segmentation via Dense Residual U-Network with Hybrid Loss Function. Sensors Manahil Zulfiqar, Maciej Stanuch, Marek Wodzinski, Andrzej Skalski
2023	—	`conf`	Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects. ICCV (Workshops) Kamil Kwarciak, Marek Wodzinski
2023	J	`jnl`	Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects. CoRR Kamil Kwarciak, Marek Wodzinski
2023	—	`conf`	High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers. MICCAI (9) Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Miroslaw Socha
2023	J	`jnl`	High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers. CoRR Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Miroslaw Socha
2023	—	`conf`	Improving Segmentation of Hypoxic Ischemic Encephalopathy Lesions by Heavy Data Augmentation: Contribution to the BONBID Challenge. BONBID-HIE@MICCAI Marek Wodzinski, Henning Müller
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2023	—	`conf`	Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images. PCBBE Artur Jurgas, Marek Wodzinski, Manfredo Atzori, Henning Müller
2023	J	`jnl`	The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
2023	J	`jnl`	Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger
2023	—	`conf`	Vision Transformer for Parkinson's Disease Classification using Multilingual Sustained Vowel Recordings. EMBC Daria Hemmerling, Marek Wodzinski, Juan Rafael Orozco-Arroyave, Dávid Sztahó, Mateusz Daniol, Pawel Jemiolo, Magdalena Wójcik-Pedziwiatr
2023	A*	`conf`	Why is the Winner the Best? CVPR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2022	J	`jnl`	Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling. CoRR Marek Wodzinski, Mateusz Daniol, Miroslaw Socha, Daria Hemmerling, Maciej Stanuch, Andrzej Skalski
2022	J	`jnl`	Deep learning-based framework for automatic cranial defect reconstruction and implant modeling. Comput. Methods Programs Biomed. Marek Wodzinski, Mateusz Daniol, Miroslaw Socha, Daria Hemmerling, Maciej Stanuch, Andrzej Skalski
2022	J	`jnl`	Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori
2022	—	`conf`	Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge. BrainLes@MICCAI Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller
2022	J	`jnl`	Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge. CoRR Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller
2021	—	`conf`	Adversarial Affine Registration for Real-Time Intraoperative Registration of 3-D US-US for Brain Shift Correction. ASMUS@MICCAI Marek Wodzinski, Andrzej Skalski
2021	J	`jnl`	DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples. Comput. Methods Programs Biomed. Marek Wodzinski, Henning Müller
2021	—	`conf`	Improving the Automatic Cranial Implant Design in Cranioplasty by Linking Different Datasets. AutoImplant@MICCAI Marek Wodzinski, Mateusz Daniol, Daria Hemmerling
2021	—	`conf`	Invnet: A Deep Learning Approach To Invert Complex Deformation Fields. ISBI Marek Wodzinski, Henning Müller
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2021	J	`jnl`	Semi-Supervised Deep Learning-Based Image Registration Method with Volume Penalty for Real-Time Breast Tumor Bed Localization. Sensors Marek Wodzinski, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kedzierawski, Andrzej Skalski
2021	—	`conf`	Semi-supervised Multilevel Symmetric Image Registration Method for Magnetic Resonance Whole Brain Images. MIDOG/MOOD/Learn2Reg@MICCAI Marek Wodzinski
2020	J	`jnl`	ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia
2020	—	`conf`	Automatic Quality Assessment of Reflectance Confocal Microscopy Mosaics using Attention-Based Deep Neural Network. EMBC Marek Wodzinski, Miroslawa Pajak, Andrzej Skalski, Alexander Witkowski, Giovanni Pellacani, Joanna Ludzik
2020	J	`jnl`	Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network. Sensors Maciej Stanuch, Marek Wodzinski, Andrzej Skalski
2020	—	`conf`	Learning-Based Affine Registration of Histological Images. WBIR Marek Wodzinski, Henning Müller
2020	—	`conf`	Multi-step, Learning-Based, Semi-supervised Image Registration Algorithm. MICCAI (Challenges) Marek Wodzinski
2020	—	`conf`	Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading. EMBC Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid, Henning Müller
2020	—	`conf`	Unsupervised Learning-Based Nonrigid Registration of High Resolution Histology Images. MLMI@MICCAI Marek Wodzinski, Henning Müller
2019	J	`jnl`	Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm. CoRR Marek Wodzinski, Andrzej Skalski
2019	—	`conf`	Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy. EMBC Marek Wodzinski, Andrzej Skalski, Alexander Witkowski, Giovanni Pellacani, Joanna Ludzik
2019	—	`conf`	Deep Learning Approach to Parkinson's Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification. EMBC Marek Wodzinski, Andrzej Skalski, Daria Hemmerling, Juan Rafael Orozco-Arroyave, Elmar Nöth
2018	—	`conf`	Artificial CT Data Generation Method with Known Ground-Truth for Image Registration with Missing Data. IST Marek Wodzinski, Andrzej Skalski
2018	—	`conf`	Resection-Based Demons Regularization for Breast Tumor Bed Propagation. RAMBO+BIA+TIA@MICCAI Marek Wodzinski, Andrzej Skalski
2018	—	`conf`	Rigid Registration Method for Medical Volumes with Large Deformations and Missing Data. IWSSIP Marek Wodzinski, Andrzej Skalski
2018	—	`conf`	Volume regularization in explicit image registration used for breast cancer bed localization. ISBI Marek Wodzinski, Andrzej Skalski, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kedzierawski
2017	—	`conf`	Application of B-splines FFD image registration in breast cancer radiotherapy planning. IWSSIP Marek Wodzinski, Andrzej Skalski, Piotr Kedzierawski, Tomasz Kuszewski
2017	—	`conf`	Application of demons image registration algorithms in resected breast cancer lodge localization. SPA Marek Wodzinski, Andrzej Skalski, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kedzierawski