Vincent Andrearczyk
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
3
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | LEXU: Learning from Expert Disagreement for Single-Pass Uncertainty Estimation in Medical Image Segmentation. | Kudaibergen Abutalip, Numan Saeed, Fadillah A. Maani, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub |
| 2025 | MICCAI | AI-Based Response Assessment and Prediction in Longitudinal Imaging for Brain Metastases Treated with Stereotactic Radiosurgery. | Lorenz Achim Kuhn, Daniel Abler, Jonas Richiardi, Andreas Hottinger, Luis Schiappacasse, Vincent Dunet, Adrien Depeursinge, Vincent Andrearczyk |
| 2024 | MICCAI | A Bispectral 3D U-Net for Rotation Robustness in Medical Segmentation. | Arthur Chevalley, Valentin Oreiller, Julien Fageot, John O. Prior, Vincent Andrearczyk, Adrien Depeursinge |
| 2024 | MICCAI | Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI. | Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-Garca, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge |
| 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 |
| 2023 | CVPR | Disentangling Neuron Representations with Concept Vectors. | Laura O'Mahony, Vincent Andrearczyk, Henning Mller, Mara Graziani |
| 2022 | MICCAI | Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. | Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Jol Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallires, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge |
| 2021 | MICCAI | Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. | Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Jol Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge |
| 2021 | MICCAI | Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. | Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallires, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge |
| 2021 | MICCAI | Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. | Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Jol Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge |
| 2021 | MICCAI | Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability. | Mara Graziani, Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva, Henning Mller, Vincent Andrearczyk |
| 2020 | MICCAI | Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. | Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Martin Vallires, Jol Castelli, Hesham Elhalawani, Sarah Boughdad, John O. Prior, Adrien Depeursinge |
| 2020 | MICCAI | Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. | Mara Graziani, Thomas Lompech, Henning Mller, Adrien Depeursinge, Vincent Andrearczyk |
| 2020 | MMM | Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction. | Henning Mller, Vincent Andrearczyk, Oscar Alfonso Jimnez del Toro, Anjani Dhrangadhariya, Roger Schaer, Manfredo Atzori |
| 2018 | MICCAI | Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. | Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser |
| 2018 | MICCAI | Regression Concept Vectors for Bidirectional Explanations in Histopathology. | Mara Graziani, Vincent Andrearczyk, Henning Mller |
| 2018 | MICCAI | Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. | Sebastian Otlora, Manfredo Atzori, Vincent Andrearczyk, Henning Mller |
| 2018 | MICCAI | Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. | Oscar J. Perdomo, Vincent Andrearczyk, Fabrice Mriaudeau, Henning Mller, Fabio A. Gonzlez |