Veronika Cheplygina
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
5
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Robustness and Sex Differences in Skin Cancer Detection: Logistic Regression vs CNNs. | Nikolette Pedersen, Regitze Sydendal, Andreas Wulff, Ralf Raumanns, Eike Petersen, Veronika Cheplygina |
| 2024 | MICCAI | Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? | Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofine Boutaj, Sophie Loizillon, Malys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jger, Annette Kopp-Schneider, Gal Varoquaux, Olivier Colliot, Lena Maier-Hein |
| 2024 | MICCAI | Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging. | Dovile Juodelyte, Yucheng Lu, Amelia Jimnez-Snchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina |
| 2024 | MICCAI | Dataset Distribution Impacts Model Fairness: Single Vs. Multi-task Learning. | Ralf Raumanns, Gerard Schouten, Josien P. W. Pluim, Veronika Cheplygina |
| 2023 | CVPR | Why is the Winner the Best? | 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 Huaulm, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martn-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rdsch, 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 Brngel, J. Cho, C. Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, lvaro Garca-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, lodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hlne Urien, Joo L. Vilaa, 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. Jger, Annette Kopp-Schneider, Lena Maier-Hein |
| 2022 | KDD | Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. | Dovile Juodelyte, Veronika Cheplygina, Therese Graversen, Philippe Bonnet |
| 2020 | MICCAI | Risk of Training Diagnostic Algorithms on Data with Demographic Bias. | Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina |
| 2020 | MICCAI | Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. | Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, Jos Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani |
| 2020 | MICCAI | Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning. | Tom van Sonsbeek, Veronika Cheplygina |
| 2018 | MICCAI | Crowd Disagreement About Medical Images Is Informative. | Veronika Cheplygina, Josien P. W. Pluim |
| 2018 | MICCAI | Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans. | Silas Nyboe rting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne |
| 2017 | MICCAI | Exploring the Similarity of Medical Imaging Classification Problems. | Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien P. W. Pluim |
| 2017 | MICCAI | Crowdsourced Emphysema Assessment. | Silas Nyboe rting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne |
| 2016 | MICCAI | Early Experiences with Crowdsourcing Airway Annotations in Chest CT. | Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne |
| 2016 | SSPR | The Similarity Between Dissimilarities. | David M. J. Tax, Veronika Cheplygina, Robert P. W. Duin, Jan van de Poll |
| 2015 | MICCAI | Label Stability in Multiple Instance Learning. | Veronika Cheplygina, Lauge Srensen, David M. J. Tax, Marleen de Bruijne, Marco Loog |
| 2014 | ICPR | Classification of COPD with Multiple Instance Learning. | Veronika Cheplygina, Lauge Srensen, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne |
| 2014 | MICCAI | Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder. | Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen |
| 2012 | ICPR | Does one rotten apple spoil the whole barrel? | Veronika Cheplygina, David M. J. Tax, Marco Loog |
| 2012 | SSPR | Class-Dependent Dissimilarity Measures for Multiple Instance Learning. | Veronika Cheplygina, David M. J. Tax, Marco Loog |