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2020 – today
- 2024
[c59]Arthur Chevalley, Valentin Oreiller, Julien Fageot, John O. Prior, Vincent Andrearczyk, Adrien Depeursinge:
A Bispectral 3D U-Net for Rotation Robustness in Medical Segmentation. TGI3@MICCAI 2024: 43-54- [i16]Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub:
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation. CoRR abs/2403.16594 (2024) - [i15]Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-García, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge:
Instance-level quantitative saliency in multiple sclerosis lesion segmentation. CoRR abs/2406.09335 (2024) - [i14]Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra:
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis. CoRR abs/2407.05761 (2024) - [i13]Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge:
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI. CoRR abs/2409.03772 (2024) - 2023
- [j28]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:
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artif. Intell. Rev. 56(4): 3473-3504 (2023) - [j27]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:
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. 90: 102972 (2023) - [c58]Himanshu Verma, Jakub Mlynár, Roger Schaer, Julien Reichenbach, Mario Jreige, John O. Prior, Florian Evéquoz, Adrien Depeursinge:
Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows. CHI 2023: 17:1-17:19 - [c57]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, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [e3]Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge:
Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13626, Springer 2023, ISBN 978-3-031-27419-0 [contents] - [i12]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.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i11]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.:
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR abs/2308.16139 (2023) - [i10]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra:
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR abs/2311.08931 (2023) - 2022
- [j26]Virginie Uhlmann, Zsuzsanna Püspöki, Adrien Depeursinge, Michael Unser, Daniel Sage, Julien Fageot:
Steer'n'Detect: fast 2D template detection with accurate orientation estimation. Bioinform. 38(11): 3146-3148 (2022) - [j25]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:
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. 77: 102336 (2022) - [c56]Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joël Castelli, John O. Prior, Adrien Depeursinge:
Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT. EMBC 2022: 4731-4735 - [c55]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:
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI 2022: 1-30 - [c54]Valentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior, Adrien Depeursinge:
Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net. MIDL 2022: 929-943 - [e2]Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge:
Head and Neck Tumor Segmentation and Outcome Prediction - Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 13209, Springer 2022, ISBN 978-3-030-98252-2 [contents] - [i9]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:
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. CoRR abs/2201.04138 (2022) - [i8]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.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j24]Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk:
On the Scale Invariance in State of the Art CNNs Trained on ImageNet. Mach. Learn. Knowl. Extr. 3(2): 374-391 (2021) - [j23]Julien Fageot, Virginie Uhlmann, Zsuzsanna Püspöki, Benjamin Beck, Michael Unser, Adrien Depeursinge:
Principled Design and Implementation of Steerable Detectors. IEEE Trans. Image Process. 30: 4465-4478 (2021) - [c53]Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes, Adrien Depeursinge:
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction. BrainLes@MICCAI (2) 2021: 367-380 - [c52]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:
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. HECKTOR@MICCAI 2021: 1-37 - [c51]Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge:
Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. ML-CDS@MICCAI 2021: 59-68 - [c50]Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge:
Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. PRIME@MICCAI 2021: 147-156 - [e1]Vincent Andrearczyk, Valentin Oreiller, Adrien Depeursinge:
Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12603, Springer 2021, ISBN 978-3-030-67193-8 [contents] - 2020
- [j22]Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge:
Local rotation invariance in 3D CNNs. Medical Image Anal. 65: 101756 (2020) - [c49]Pierre Fontaine, Francois-Georges Riet, Joël Castelli, Khemara Gnep, Adrien Depeursinge, Renaud de Crevoisier, Oscar Acosta:
Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma. EMBC 2020: 1667-1670 - [c48]Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Martin Vallières, Joël Castelli, Hesham Elhalawani, Sarah Boughdad, John O. Prior, Adrien Depeursinge:
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. HECKTOR@MICCAI 2020: 1-21 - [c47]Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk:
Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 23-32 - [c46]Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joël Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge:
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. MIDL 2020: 33-43 - [c45]Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay B. Patel, Ken Chang, Adrien Depeursinge, Henning Müller, Jayashree Kalpathy-Cramer:
An exploration of uncertainty information for segmentation quality assessment. Medical Imaging: Image Processing 2020: 113131K - [d1]Michael T. McCann, Vincent Andrearczyk, Michael Unser, Adrien Depeursinge:
Code for "Fast Rotational Sparse Coding". Zenodo, 2020
- [i7]Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge:
Local Rotation Invariance in 3D CNNs. CoRR abs/2003.08890 (2020) - [i6]Valentin Oreiller, Vincent Andrearczyk, Julien Fageot, John O. Prior, Adrien Depeursinge:
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis. CoRR abs/2004.13371 (2020) - [i5]Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra, Joost van Griethuysen, Henning Müller, Roger Schaer, Martin Vallières, Alex Zwanenburg:
Standardised convolutional filtering for radiomics. CoRR abs/2006.05470 (2020)
2010 – 2019
- 2019
- [j21]Anaïs Badoual, Michael Unser, Adrien Depeursinge:
Texture-driven parametric snakes for semi-automatic image segmentation. Comput. Vis. Image Underst. 188 (2019) - [j20]Ranveer Joyseeree, Sebastian Otálora, Henning Müller, Adrien Depeursinge:
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification. Medical Image Anal. 56: 172-183 (2019) - [c44]Guillaume Vanoost, Yashin Dicente Cid, Daniel L. Rubin, Adrien Depeursinge:
A lung graph model for the classification of interstitial lung diseases on CT images. Medical Imaging: Computer-Aided Diagnosis 2019: 109503H - [c43]Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge:
Exploring local rotation invariance in 3D CNNs with steerable filters. MIDL 2019: 15-26 - 2018
- [j19]Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura:
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 1-6 (2018) - [j18]Ranveer Joyseeree, Henning Müller, Adrien Depeursinge:
Rotation-covariant tissue analysis for interstitial lung diseases using learned steerable filters: Performance evaluation and relevance for diagnostic aid. Comput. Medical Imaging Graph. 64: 1-11 (2018) - [c42]Magali Fröhlich, Christophe Bolinhas, Adrien Depeursinge, Antoine Widmer, Nicolas Chevrey, Patric Hagmann, Christian Simon, Vivianne B. C. Kokje, Stéphane Gobron:
Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 102-110 - [c41]Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser:
Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. MLMI@MICCAI 2018: 107-115 - [i4]Michael T. McCann, Michael Unser, Adrien Depeursinge:
Fast Rotational Sparse Coding. CoRR abs/1806.04374 (2018) - [i3]Vincent Andrearczyk, Adrien Depeursinge:
Rotational 3D Texture Classification Using Group Equivariant CNNs. CoRR abs/1810.06889 (2018) - 2017
- [j17]Adrien Depeursinge, Zsuzsanna Püspöki, John Paul Ward, Michael Unser:
Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification. IEEE Trans. Image Process. 26(4): 1626-1636 (2017) - [j16]Yashin Dicente Cid, Henning Müller, Alexandra Platon, Pierre-Alexandre Poletti, Adrien Depeursinge:
3D Solid Texture Classification Using Locally-Oriented Wavelet Transforms. IEEE Trans. Image Process. 26(4): 1899-1910 (2017) - [p2]Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Müller:
Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark. Cloud-Based Benchmarking of Medical Image Analysis 2017: 237-249 - [i2]Antonio Foncubierta-Rodríguez, Henning Müller, Adrien Depeursinge:
From visual words to a visual grammar: using language modelling for image classification. CoRR abs/1703.05571 (2017) - 2016
- [j15]Roger Schaer, Henning Müller, Adrien Depeursinge:
Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop. J. Imaging 2(2): 19 (2016) - [j14]Jocelyn Barker, Assaf Hoogi, Adrien Depeursinge, Daniel L. Rubin:
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles. Medical Image Anal. 30: 60-71 (2016) - [j13]Pol Cirujeda, Yashin Dicente Cid, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo, Maximilian Diehn, Xavier Binefa, Adrien Depeursinge:
A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT. IEEE Trans. Medical Imaging 35(12): 2620-2630 (2016) - [c40]Yashin Dicente Cid, Henning Müller, Alexandra Platon, Jean-Paul Janssens, Frédéric Lador, Pierre-Alexandre Poletti, Adrien Depeursinge:
A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images. MCV/BAMBI@MICCAI 2016: 58-68 - [c39]Omar Sultan Al-Kadi, Dimitri Van De Ville, Adrien Depeursinge:
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment. MICCAI (1) 2016: 619-626 - [c38]Anamaria Vizitiu, Lucian Mihai Itu, Ranveer Joyseeree, Adrien Depeursinge, Henning Müller, Constantin Suciu:
GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets. PDP 2016: 431-434 - 2015
- [c37]Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Müller:
USYD/HES-SO in the VISCERAL Retrieval Benchmark. MRDM@ECIR 2015: 139-143 - [c36]Pol Cirujeda, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo, Maximilian Diehn, Xavier Binefa, Adrien Depeursinge:
3D Riesz-wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT. EMBC 2015: 7909-7912 - [c35]Oscar Alfonso Jiménez del Toro, Yashin Dicente Cid, Adrien Depeursinge, Henning Müller:
Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3. VISCERAL Challenge@ISBI 2015: 22-26 - [c34]Yashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Adrien Depeursinge, Henning Müller:
Efficient and fully automatic segmentation of the lungs in CT volumes. VISCERAL Challenge@ISBI 2015: 31-35 - [c33]Adrien Depeursinge, Pedram Pad, Anne S. Chin, Ann N. Leung, Daniel L. Rubin, Henning Müller, Michael Unser:
Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: Classification of usual interstitial pneumonia. ISBI 2015: 403-406 - [c32]Oscar Alfonso Jiménez del Toro, Antonio Foncubierta-Rodríguez, Adrien Depeursinge, Henning Müller:
Texture classification of anatomical structures in CT using a context-free machine learning approach. Medical Imaging: Computer-Aided Diagnosis 2015: 94140W - [c31]Yashin Dicente Cid, Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller:
Pulmonary embolism detection using localized vessel-based features in dual energy CT. Medical Imaging: Computer-Aided Diagnosis 2015: 941407 - [c30]Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge:
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) 2015: 581-588 - [i1]Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller, Adrien Depeursinge:
Using MapReduce for Large-scale Medical Image Analysis. CoRR abs/1510.06937 (2015) - 2014
- [j12]Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller:
Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities. Medical Image Anal. 18(1): 176-196 (2014) - [j11]Camille Kurtz, Adrien Depeursinge, Sandy Napel, Christopher F. Beaulieu, Daniel L. Rubin:
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications. Medical Image Anal. 18(7): 1082-1100 (2014) - [j10]Antonio Foncubierta-Rodríguez, Henning Müller, Adrien Depeursinge:
Retrieval of high-dimensional visual data: current state, trends and challenges ahead. Multim. Tools Appl. 69(2): 539-567 (2014) - [j9]Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller:
Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets. IEEE Trans. Image Process. 23(2): 898-908 (2014) - [j8]Adrien Depeursinge, Camille Kurtz, Christopher F. Beaulieu, Sandy Napel, Daniel L. Rubin:
Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT. IEEE Trans. Medical Imaging 33(8): 1669-1676 (2014) - [c29]Antonio Foncubierta-Rodríguez, Antoine Widmer, Adrien Depeursinge, Henning Müller:
Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images. EMBC 2014: 6710-6713 - [c28]Camille Kurtz, Adrien Depeursinge, Christopher F. Beaulieu, Daniel L. Rubin:
A semantic framework for the retrieval of similar radiological images based on medical annotations. ICIP 2014: 2241-2245 - 2013
- [c27]Antonio Foncubierta-Rodríguez, Oscar Alfonso Jiménez del Toro, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller, Adrien Depeursinge:
Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection. EMBC 2013: 3973-3976 - [c26]Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Alejandro Vargas, Dimitri Van De Ville, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller:
Rotation-covariant texture analysis of 4D dual-energy CT as an indicator of local pulmonary perfusion. ISBI 2013: 145-148 - [c25]Philipp Oggier, Henning Müller, Adrien Depeursinge:
Mobile Image Upload for Radiology. MedInfo 2013: 1003 - [c24]Oscar Alfonso Jiménez del Toro, Antonio Foncubierta-Rodríguez, María Isabel Vargas Gómez, Henning Müller, Adrien Depeursinge:
Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons. MICCAI (2) 2013: 353-360 - 2012
- [j7]Adrien Depeursinge, Alejandro Vargas, Frédéric Gaillard, Alexandra Platon, Antoine Geissbühler, Pierre-Alexandre Poletti, Henning Müller:
Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows. Int. J. Comput. Assist. Radiol. Surg. 7(1): 97-110 (2012) - [j6]Adrien Depeursinge, Alejandro Vargas, Alexandra Platon, Antoine Geissbühler, Pierre-Alexandre Poletti, Henning Müller:
Building a reference multimedia database for interstitial lung diseases. Comput. Medical Imaging Graph. 36(3): 227-238 (2012) - [j5]Adrien Depeursinge, Samuel Duc, Ivan Eggel, Henning Müller:
Mobile Medical Visual Information Retrieval. IEEE Trans. Inf. Technol. Biomed. 16(1): 53-61 (2012) - [j4]Adrien Depeursinge, Dimitri Van De Ville, Alexandra Platon, Antoine Geissbühler, Pierre-Alexandre Poletti, Henning Müller:
Near-Affine-Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames. IEEE Trans. Inf. Technol. Biomed. 16(4): 665-675 (2012) - [c23]Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller, Adrien Depeursinge:
Using MapReduce for Large-Scale Medical Image Analysis. HISB 2012: 1 - [c22]Antonio Foncubierta-Rodríguez, Alejandro Vargas, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller, Adrien Depeursinge:
Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis. MCBR-CDS 2012: 45-55 - [c21]Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller:
Multiscale Lung Texture Signature Learning Using the Riesz Transform. MICCAI (3) 2012: 517-524 - [c20]Antonio Foncubierta-Rodríguez, Adrien Depeursinge, Laura Gui, Henning Müller:
Three dimensional multi-scale visual words for texture-based cerebellum segmentation. Medical Imaging: Image Processing 2012: 83142Z - 2011
- [c19]Adrien Depeursinge, Tatjana Zrimec, Sata Busayarat, Henning Müller:
3D lung image retrieval using localized features. Medical Imaging: Computer-Aided Diagnosis 2011: 79632E - [c18]Adrien Depeursinge, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, Henning Müller:
Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support. MCBR-CDS 2011: 1-11 - [c17]Antonio Foncubierta-Rodríguez, Adrien Depeursinge, Henning Müller:
Using Multiscale Visual Words for Lung Texture Classification and Retrieval. MCBR-CDS 2011: 69-79 - [c16]Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller:
Lung Texture Classification Using Locally-Oriented Riesz Components. MICCAI (3) 2011: 231-238 - [c15]Adrien Depeursinge, Henning Müller:
Medical Visual Information Retrieval Based on Multi-Dimensional Texture Modeling. FET 2011: 127-129 - 2010
- [b1]Adrien Depeursinge:
Affine-invariant texture analysis and retrieval of 3D medical images with clinical context integration. University of Geneva, Switzerland, 2010 - [j3]Adrien Depeursinge, Daniel Racoceanu, Jimison Iavindrasana, Gilles Cohen, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller:
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography. Artif. Intell. Medicine 50(1): 13-21 (2010) - [j2]Adrien Depeursinge, Jimison Iavindrasana, Asmâa Hidki, Gilles Cohen, Antoine Geissbühler, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller:
Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization. J. Digit. Imaging 23(1): 18-30 (2010) - [c14]Xin Zhou, Adrien Depeursinge, Henning Müller:
Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPR. ICPR Contests 2010: 129-137 - [c13]Xin Zhou, Adrien Depeursinge, Henning Müller:
Information Fusion for Combining Visual and Textual Image Retrieval. ICPR 2010: 1590-1593 - [c12]Jimison Iavindrasana, Adrien Depeursinge, Gilles Cohen, Antoine Geissbühler, Henning Müller:
Asymmetric-margin support vector machines for lung tissue classification. IJCNN 2010: 1-8 - [c11]Jimison Iavindrasana, Gilles Cohen, Adrien Depeursinge, Henning Müller, Rodolphe Meyer, Hugo Sax, Antoine Geissbühler:
Measuring the effectiveness of hospital-acquired infection prevention. MedInfo 2010: 764-768 - [p1]Adrien Depeursinge, Henning Müller:
Fusion Techniques for Combining Textual and Visual Information Retrieval. ImageCLEF 2010: 95-114
2000 – 2009
- 2009
- [c10]Jimison Iavindrasana, Gilles Cohen, Adrien Depeursinge, Henning Müller, Rodolphe Meyer, Antoine Geissbühler:
Towards an Automated Nosocomial Infection Case Reporting - Framework to Build a Computer-aided Detection of Nosocomial Infection. HEALTHINF 2009: 317-322 - [c9]Xin Zhou, Hajo N. Krabbenhöft, Marko Niinimäki, Adrien Depeursinge, Steffen Möller, Henning Müller:
An Easy Setup for Parallel Medical Image Processing: Using Taverna and ARC. HealthGrid 2009: 41-50 - [c8]Adrien Depeursinge, Alejandro Vargas, Alexandra Platon, Antoine Geissbühler, Pierre-Alexandre Poletti, Henning Müller:
3D Case-Based Retrieval for Interstitial Lung Diseases. MCBR-CDS 2009: 39-48 - 2008
- [j1]Xin Zhou, Adrien Depeursinge, Henning Müller:
Hierarchical classification using a frequency-based weighting and simple visual features. Pattern Recognit. Lett. 29(15): 2011-2017 (2008) - [c7]Adrien Depeursinge, Jimison Iavindrasana, Gilles Cohen, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller:
Lung Tissue Classification in HRCT Data Integrating the Clinical Context. CBMS 2008: 542-547 - 2007
- [c6]Henning Müller, Mikko Juhani Pitkänen, Xin Zhou, Adrien Depeursinge, Jimison Iavindrasana, Antoine Geissbühler:
KnowARC: Enabling Grid networks for the biomedical research community. HealthGrid 2007: 261-268 - [c5]Henning Müller, Xin Zhou, Adrien Depeursinge, Mikko Juhani Pitkänen, Jimison Iavindrasana, Antoine Geissbühler:
Medical Visual Information Retrieval: State of the Art and Challenges Ahead. ICME 2007: 683-686 - [c4]Jimison Iavindrasana, Adrien Depeursinge, Patrick Ruch, Stéphane Spahni, Antoine Geissbühler, Henning Müller:
Design of a Decentralized Reusable Research Database Architecture to Support Data Acquisition in Large Research Projects. MedInfo 2007: 325-329 - [c3]Adrien Depeursinge, Henning Müller, Asmâa Hidki, Pierre-Alexandre Poletti, Alexandra Platon, Antoine Geissbühler:
Image-based diagnostic aid for interstitial lung disease with secondary data integration. Medical Imaging: Computer-Aided Diagnosis 2007: 65143P - [c2]Tobias Gass, Adrien Depeursinge, Antoine Geissbühler, Henning Müller:
Learning a Frequency-Based Weighting for Medical Image Classification. MIMI 2007: 99-108 - 2006
- [c1]Henning Müller, Joris Heuberger, Adrien Depeursinge, Antoine Geissbühler:
Automated Object Extraction for Medical Image Retrieval Using the Insight Toolkit (ITK). AIRS 2006: 476-488
Coauthor Index
[i14] [j28] [i10] [j24] [c47] [c45] [i5] [j20] [j18] [j16] [p2] [i2] [j15] [j13] [c40] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [i1] [j12] [j10] [j9] [c29] [c27] [c26] [c25] [c24] [j7] [j6] [j5] [j4] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j3] [j2] [c14] [c13] [c12] [c11] [p1] [c10] [c9] [c8] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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