Adrien Depeursinge

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 51

Top Venues

CoRR

Medical Image Anal.

EMBC

IEEE Trans. Image Process.

Publications

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 (2024)
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 (2024)
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 (2024)
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)
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 Ferndinand 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 (2023)
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 (2023)
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, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. 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, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. 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)
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 (2023)
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) (2023)
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 Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias 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, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
Why is the winner the best? CoRR (2023)
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) (2022)
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, 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 (2022)
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 (2022)
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 Mohamed, Mohamed Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem 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)
Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Chez-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 (2022)
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)
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)
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)
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)
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)
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)
Julien Fageot, Virginie Uhlmann, Zsuzsanna Püspöki, Benjamin Beck, Michael Unser, Adrien Depeursinge
Principled Design and Implementation of Steerable Detectors. IEEE Trans. Image Process. 30 (2021)
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) (2021)
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)
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)
Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra, Joost van Griethuysen, Henning Müller, Roger Schaer, Martin Vallières, Alex Zwanenburg
Standardised convolutional filtering for radiomics. CoRR (2020)
Valentin Oreiller, Vincent Andrearczyk, Julien Fageot, John O. Prior, Adrien Depeursinge
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis. CoRR (2020)
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)
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)
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)
Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
Local rotation invariance in 3D CNNs. Medical Image Anal. 65 (2020)
Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
Local Rotation Invariance in 3D CNNs. CoRR (2020)
Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
Exploring local rotation invariance in 3D CNNs with steerable filters. MIDL (2019)
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 (2019)
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)
Anaïs Badoual, Michael Unser, Adrien Depeursinge
Texture-driven parametric snakes for semi-automatic image segmentation. Comput. Vis. Image Underst. 188 (2019)
Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser
Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. MLMI@MICCAI (2018)
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 (2018)
Vincent Andrearczyk, Adrien Depeursinge
Rotational 3D Texture Classification Using Group Equivariant CNNs. CoRR (2018)
Michael T. McCann, Michael Unser, Adrien Depeursinge
Fast Rotational Sparse Coding. CoRR (2018)
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) (2018)
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)
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) (2017)
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) (2017)
Antonio Foncubierta-Rodríguez, Henning Müller, Adrien Depeursinge
From visual words to a visual grammar: using language modelling for image classification. CoRR (2017)
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 (2016)
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)
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) (2016)
Roger Schaer, Henning Müller, Adrien Depeursinge
Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop. J. Imaging 2 (2) (2016)
Anamaria Vizitiu, Lucian Mihai Itu, Ranveer Joyseeree, Adrien Depeursinge, Henning Müller, Constantin Suciu
GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets. PDP (2016)
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)
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)
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)
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)
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)
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)
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)
Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller, Adrien Depeursinge
Using MapReduce for Large-scale Medical Image Analysis. CoRR (2015)
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)
Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Müller
USYD/HES-SO in the VISCERAL Retrieval Benchmark. MRDM@ECIR (2015)
Antonio Foncubierta-Rodríguez, Henning Müller, Adrien Depeursinge
Retrieval of high-dimensional visual data: current state, trends and challenges ahead. Multim. Tools Appl. 69 (2) (2014)
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) (2014)
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) (2014)
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)
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) (2014)
Antonio Foncubierta-Rodríguez, Antoine Widmer, Adrien Depeursinge, Henning Müller
Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images. EMBC (2014)
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) (2014)
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)
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)
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)
Philipp Oggier, Henning Müller, Adrien Depeursinge
Mobile Image Upload for Radiology. MedInfo (2013)
Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller
Multiscale Lung Texture Signature Learning Using the Riesz Transform. MICCAI (3) (2012)
Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller, Adrien Depeursinge
Using MapReduce for Large-Scale Medical Image Analysis. HISB (2012)
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)
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) (2012)
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) (2012)
Adrien Depeursinge, Samuel Duc, Ivan Eggel, Henning Müller
Mobile Medical Visual Information Retrieval. IEEE Trans. Inf. Technol. Biomed. 16 (1) (2012)
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)
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) (2012)
Antonio Foncubierta-Rodríguez, Adrien Depeursinge, Henning Müller
Using Multiscale Visual Words for Lung Texture Classification and Retrieval. MCBR-CDS (2011)
Adrien Depeursinge, Henning Müller
Medical Visual Information Retrieval Based on Multi-Dimensional Texture Modeling. FET (2011)
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)
Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Dimitri Van De Ville, Henning Müller
Lung Texture Classification Using Locally-Oriented Riesz Components. MICCAI (3) (2011)
Adrien Depeursinge, Tatjana Zrimec, Sata Busayarat, Henning Müller
3D lung image retrieval using localized features. Medical Imaging: Computer-Aided Diagnosis (2011)
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) (2010)
Xin Zhou, Adrien Depeursinge, Henning Müller
Information Fusion for Combining Visual and Textual Image Retrieval. ICPR (2010)
Jimison Iavindrasana, Adrien Depeursinge, Gilles Cohen, Antoine Geissbühler, Henning Müller
Asymmetric-margin support vector machines for lung tissue classification. IJCNN (2010)
Jimison Iavindrasana, Gilles Cohen, Adrien Depeursinge, Henning Müller, Rodolphe Meyer, Hugo Sax, Antoine Geissbühler
Measuring the effectiveness of hospital-acquired infection prevention. MedInfo (2010)
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) (2010)
Xin Zhou, Adrien Depeursinge, Henning Müller
Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPR. ICPR Contests (2010)
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)
Adrien Depeursinge, Alejandro Vargas, Alexandra Platon, Antoine Geissbühler, Pierre-Alexandre Poletti, Henning Müller
3D Case-Based Retrieval for Interstitial Lung Diseases. MCBR-CDS (2009)
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)
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)
Xin Zhou, Adrien Depeursinge, Henning Müller
Hierarchical classification using a frequency-based weighting and simple visual features. Pattern Recognit. Lett. 29 (15) (2008)
Henning Müller, Mikko Juhani Pitkänen, Xin Zhou, Adrien Depeursinge, Jimison Iavindrasana, Antoine Geissbühler
KnowARC: Enabling Grid networks for the biomedical research community. HealthGrid (2007)
Tobias Gass, Adrien Depeursinge, Antoine Geissbühler, Henning Müller
Learning a Frequency-Based Weighting for Medical Image Classification. MIMI (2007)
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)
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)
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)

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Adrien Depeursinge