Vincent Andrearczyk

68 papers A* 1B 1Journal 31Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-Centric Anthropomorphic 3D CT Phantom-Based Benchmark Dataset for Harmonization. CoRR Mohammadreza Amirian, Michael Bach, Oscar Alfonso Jiménez del Toro, Christoph Aberle, Roger Schaer, Vincent Andrearczyk, Jean-Félix Maestrati, María Martin Asiain, Kyriakos Flouris, Markus M. Obmann, Clarisse Dromain, Benoît Dufour, Pierre-Alexandre Poletti, Hendrik von Tengg-Kobligk, Rolf Hügli, Martin Kretzschmar, Hatem Alkadhi, Ender Konukoglu, Henning Müller, Bram Stieltjes, Adrien Depeursinge
2025	J	`jnl`	A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction. CoRR Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub
2025	—	`conf`	AI-Based Response Assessment and Prediction in Longitudinal Imaging for Brain Metastases Treated with Stereotactic Radiosurgery. LMID@MICCAI Lorenz Achim Kuhn, Daniel Abler, Jonas Richiardi, Andreas Hottinger, Luis Schiappacasse, Vincent Dunet, Adrien Depeursinge, Vincent Andrearczyk
2025	J	`jnl`	AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery. CoRR Lorenz Achim Kuhn, Daniel Abler, Jonas Richiardi, Andreas Hottinger, Luis Schiappacasse, Vincent Dunet, Adrien Depeursinge, Vincent Andrearczyk
2025	—	`conf`	LEXU: Learning from Expert Disagreement for Single-Pass Uncertainty Estimation in Medical Image Segmentation. UNSURE@MICCAI Kudaibergen Abutalip, Numan Saeed, Fadillah A. Maani, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub
2024	—	`conf`	A Bispectral 3D U-Net for Rotation Robustness in Medical Segmentation. TGI3@MICCAI Arthur Chevalley, Valentin Oreiller, Julien Fageot, John O. Prior, Vincent Andrearczyk, Adrien Depeursinge
2024	J	`jnl`	EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation. CoRR Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub
2024	—	`conf`	Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge
2024	J	`jnl`	Exploiting XAI maps to improve MS lesion segmentation and detection in MRI. CoRR Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge
2024	J	`jnl`	Instance-level quantitative saliency in multiple sclerosis lesion segmentation. CoRR Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-García, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge
2023	J	`jnl`	A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artif. Intell. Rev. Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, José Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro Henriques Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller
2023	J	`jnl`	Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge. Medical Image Anal. Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
2023	—	`conf`	Disentangling Neuron Representations With Concept Vectors. XAI4CV Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani
2023	—	`conf`	Disentangling Neuron Representations with Concept Vectors. CVPR Workshops Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani
2023	J	`jnl`	Disentangling Neuron Representations with Concept Vectors. CoRR Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani
2023	—	`conf`	Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification. EXTRAAMAS Victor Contreras, Andrea Bagante, Niccolò Marini, Michael Schumacher, Vincent Andrearczyk, Davide Calvaresi
2023	—	`ed.`	Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge
2023	J	`jnl`	MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.
2023	J	`jnl`	Uncovering Unique Concept Vectors through Latent Space Decomposition. CoRR Mara Graziani, Laura O'Mahony, An-phi Nguyen, Henning Müller, Vincent Andrearczyk
2023	J	`jnl`	Uncovering Unique Concept Vectors through Latent Space Decomposition. Trans. Mach. Learn. Res. Mara Graziani, Laura O'Mahony, An-phi Nguyen, Henning Müller, Vincent Andrearczyk
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
2023	J	`jnl`	Why is the winner the best? CoRR 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, Ali 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, et al.
2022	J	`jnl`	Biomedical image analysis competitions: The state of current participation practice. CoRR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
2022	—	`ed.`	Head and Neck Tumor Segmentation and Outcome Prediction - Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge
2022	J	`jnl`	Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge
2022	J	`jnl`	Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. CoRR Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
2022	—	`conf`	Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joël 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 Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge
2022	—	`conf`	Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net. MIDL Valentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior, Adrien Depeursinge
2022	—	`conf`	Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT. EMBC Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joël Castelli, John O. Prior, Adrien Depeursinge
2021	—	`conf`	Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction. BrainLes@MICCAI (2) Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes, Adrien Depeursinge
2021	—	`conf`	Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. ML-CDS@MICCAI Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge
2021	—	`ed.`	Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Adrien Depeursinge
2021	—	`conf`	Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. PRIME@MICCAI Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge
2021	J	`jnl`	On the Scale Invariance in State of the Art CNNs Trained on ImageNet. Mach. Learn. Knowl. Extr. Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk
2021	—	`conf`	Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
2021	—	`conf`	Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability. MICCAI (3) Mara Graziani, Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva, Henning Müller, Vincent Andrearczyk
2020	J	`jnl`	3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis. CoRR Valentin Oreiller, Vincent Andrearczyk, Julien Fageot, John O. Prior, Adrien Depeursinge
2020	B	`conf`	An exploration of uncertainty information for segmentation quality assessment. Image Processing Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay B. Patel, Ken Chang, Adrien Depeursinge, Henning Müller, Jayashree Kalpathy-Cramer
2020	—	`conf`	Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. MIDL Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joël Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge
2020	J	`jnl`	Breast Histopathology with High-Performance Computing and Deep Learning. Comput. Informatics Mara Graziani, Ivan Eggel, François Deligand, Martin Bobák, Vincent Andrearczyk, Henning Müller
2020	J	`jnl`	Concept attribution: Explaining CNN decisions to physicians. Comput. Biol. Medicine Mara Graziani, Vincent Andrearczyk, Stéphane Marchand-Maillet, Henning Müller
2020	—	`conf`	Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. Digital Pathology Amjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller
2020	J	`jnl`	Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. CoRR Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk
2020	—	`conf`	Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. iMIMIC/MIL3ID/LABELS@MICCAI Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk
2020	J	`jnl`	Local Rotation Invariance in 3D CNNs. CoRR Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
2020	J	`jnl`	Local rotation invariance in 3D CNNs. Medical Image Anal. Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
2020	—	`conf`	Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Martin Vallières, Joël Castelli, Hesham Elhalawani, Sarah Boughdad, John O. Prior, Adrien Depeursinge
2020	J	`jnl`	Standardised convolutional filtering for radiomics. CoRR Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra, Joost van Griethuysen, Henning Müller, Roger Schaer, Martin Vallières, Alex Zwanenburg
2020	—	`conf`	Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction. MMM (2) Henning Müller, Vincent Andrearczyk, Oscar Alfonso Jiménez del Toro, Anjani Dhrangadhariya, Roger Schaer, Manfredo Atzori
2020	—	`conf`	Systematic comparison of deep learning strategies for weakly supervised Gleason grading. Digital Pathology Sebastian Otálora, Manfredo Atzori, Amjad Khan, Oscar Alfonso Jiménez del Toro, Vincent Andrearczyk, Henning Müller
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
2019	—	`conf`	Exploring local rotation invariance in 3D CNNs with steerable filters. MIDL Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
2019	—	`conf`	Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Computer-Aided Diagnosis Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller
2019	—	`conf`	Interpreting Intentionally Flawed Models with Linear Probes. ICCV Workshops Mara Graziani, Henning Müller, Vincent Andrearczyk
2019	J	`jnl`	Regression Concept Vectors for Bidirectional Explanations in Histopathology. CoRR Mara Graziani, Vincent Andrearczyk, Henning Müller
2018	J	`jnl`	Convolutional neural network on three orthogonal planes for dynamic texture classification. Pattern Recognit. Vincent Andrearczyk, Paul F. Whelan
2018	—	`conf`	Deep Multimodal Classification of Image Types in Biomedical Journal Figures. CLEF Vincent Andrearczyk, Henning Müller
2018	—	`conf`	Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. COMPAY/OMIA@MICCAI Oscar J. Perdomo, Vincent Andrearczyk, Fabrice Mériaudeau, Henning Müller, Fabio A. González
2018	—	`conf`	Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. COMPAY/OMIA@MICCAI Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller
2018	—	`conf`	Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. CLEF Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew P. Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin
2018	—	`conf`	Overview of the ImageCLEF 2018 Caption Prediction Tasks. CLEF (Working Notes) Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Henning Müller
2018	—	`conf`	Regression Concept Vectors for Bidirectional Explanations in Histopathology. MLCN/DLF/iMIMIC@MICCAI Mara Graziani, Vincent Andrearczyk, Henning Müller
2018	—	`conf`	Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. MLMI@MICCAI Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser
2018	J	`jnl`	Rotational 3D Texture Classification Using Group Equivariant CNNs. CoRR Vincent Andrearczyk, Adrien Depeursinge
2017	J	`jnl`	Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification. CoRR Vincent Andrearczyk, Paul F. Whelan
2017	J	`jnl`	Texture segmentation with Fully Convolutional Networks. CoRR Vincent Andrearczyk, Paul F. Whelan
2016	J	`jnl`	Using Filter Banks in Convolutional Neural Networks for Texture Classification. CoRR Vincent Andrearczyk, Paul F. Whelan
2016	J	`jnl`	Using filter banks in Convolutional Neural Networks for texture classification. Pattern Recognit. Lett. Vincent Andrearczyk, Paul F. Whelan