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ORCIDHenning Müller
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- affiliation: University of Applied Sciences Western Switzerland, Sierre
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2020 – today
- 2022
[j88]Santiago Toledo-Cortés
, Diego H. Useche, Henning Müller, Fabio A. González:
Grading diabetic retinopathy and prostate cancer diagnostic images with deep quantum ordinal regression. Comput. Biol. Medicine 145: 105472 (2022)- [c292]Anjani Dhrangadhariya, Henning Müller:
DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature. BioNLP@ACL 2022: 345-358 - [c291]Alba Garcia Seco de Herrera, Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Christoph M. Friedrich, Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Hugo Schindler, Jérôme Deshayes, Adrian Popescu, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu:
ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications. ECIR (2) 2022: 382-389 - [c290]Alexis Joly, Hervé Goëau, Stefan Kahl, Lukás Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Andrew Durso, Isabelle Bolon, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller, Milan Sulc:
LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. ECIR (2) 2022: 390-399 - [c289]Maik Fruhner, Heiko Tapken, Henning Müller:
Re-Identifikation markierter Schweine mit Computer Vision und Deep Learning. GIL Jahrestagung 2022: 99-104 - [i14]Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller:
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. CoRR abs/2201.06329 (2022) - [i13]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i12]Henning Müller, Ali Touil, Alexander Schlüter, Ralf Müller:
Dynamic Propagation of Mode III Cracks in a Lattice Boltzmann Method for Solids. CoRR abs/2206.12412 (2022) - 2021
- [j87]Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori:
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification. BMC Medical Imaging 21(1): 77 (2021) - [j86]Neda Azouji, Ashkan Sami, Mohammad Taheri, Henning Müller:
A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19. Comput. Biol. Medicine 139: 104927 (2021) - [j85]Marek Wodzinski, Henning Müller:
DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples. Comput. Methods Programs Biomed. 198: 105799 (2021) - [j84]Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori:
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. 3: 684521 (2021) - [j83]Matteo Cognolato, Manfredo Atzori, Roger Gassert, Henning Müller:
Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping. Frontiers Artif. Intell. 4: 744476 (2021) - [j82]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) - [j81]Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori:
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification. Medical Image Anal. 73: 102165 (2021) - [j80]Giulio Marano, Cristina Brambilla, Robert Mihai Mira, Alessandro Scano, Henning Müller, Manfredo Atzori:
Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study. Sensors 21(22): 7500 (2021) - [j79]K. Selçuk Candan, Guglielmo Faggioli, Nicola Ferro, Lorraine Goeuriot, Bogdan Ionescu, Alexis Joly, Birger Larsen, Maria Maistro, Henning Müller, Florina Piroi:
Report on the 12th conference and labs of the evaluation forum (CLEF 2021): experimental IR meets multilinguality, multimodality, and interaction. SIGIR Forum 55(2): 15:1-15:12 (2021) - [j78]Bogdan Ionescu, Maia Rohm, Bogdan Boteanu, Alexandru-Lucian Gînsca, Mihai Lupu, Henning Müller:
Benchmarking Image Retrieval Diversification Techniques for Social Media. IEEE Trans. Multim. 23: 677-691 (2021) - [c288]Selene Tomassini, Nicola Falcionelli, Paolo Sernani, Henning Müller, Aldo Franco Dragoni:
An End-to-End 3D ConvLSTM-based Framework for Early Diagnosis of Alzheimer's Disease from Full-Resolution Whole-Brain sMRI Scans. CBMS 2021: 74-78 - [c287]Anjani Dhrangadhariya, Gustavo Aguilar, Thamar Solorio, Roger Hilfiker, Henning Müller:
End-to-End Fine-Grained Neural Entity Recognition of Patients, Interventions, Outcomes. CLEF 2021: 65-77 - [c286]Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Mourad Sarrouti, Dina Demner-Fushman, Sadid A. Hasan, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Obioma Pelka, Alba García Seco de Herrera, Janadhip Jacutprakart, Christoph M. Friedrich, Raul Berari, Andrei Tauteanu, Dimitri Fichou, Paul Brie, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Jon Chamberlain, Antonio Campello, Adrian F. Clark, Thomas Oliver, Hassan Moustahfid, Adrian Popescu, Jerome Deshayes-Chossart:
Overview of the ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. CLEF 2021: 345-370 - [c285]Alexis Joly, Hervé Goëau, Stefan Kahl, Lukás Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Andrew Durso, Isabelle Bolon, Hervé Glotin, Robert Planqué, Rafael Luis Ruiz De Castaneda, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller:
Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. CLEF 2021: 371-393 - [c284]Asma Ben Abacha, Mourad Sarrouti, Dina Demner-Fushman, Sadid A. Hasan, Henning Müller:
Overview of the VQA-Med Task at ImageCLEF 2021: Visual Question Answering and Generation in the Medical Domain. CLEF (Working Notes) 2021: 1081-1088 - [c283]Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Henning Müller:
Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification. CLEF (Working Notes) 2021: 1089-1100 - [c282]Obioma Pelka, Asma Ben Abacha, Alba Garcia Seco de Herrera, Janadhip Jacutprakart, Christoph M. Friedrich, Henning Müller:
Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task. CLEF (Working Notes) 2021: 1101-1112 - [c281]Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller:
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations. COMPAY@MICCAI 2021: 170-181 - [c280]Alexis Joly, Hervé Goëau, Elijah Cole, Stefan Kahl, Lukás Picek, Hervé Glotin, Benjamin Deneu, Maximilien Servajean, Titouan Lorieul, Willem-Pier Vellinga, Pierre Bonnet, Andrew Durso, Rafael Luis Ruiz De Castaneda, Ivan Eggel, Henning Müller:
LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges. ECIR (2) 2021: 601-607 - [c279]Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Dina Demner-Fushman, Sadid A. Hasan, Mourad Sarrouti, Obioma Pelka, Christoph M. Friedrich, Alba Garcia Seco de Herrera, Janadhip Jacutprakart, Vassili Kovalev, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Hassan Moustahfid, Thomas Oliver, Abigail Schulz, Paul Brie, Raul Berari, Dimitri Fichou, Andrei Tauteanu, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Jérôme Deshayes, Adrian Popescu:
The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. ECIR (2) 2021: 616-623 - [c278]Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller:
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. ICCVW 2021: 601-610 - [c277]Marek Wodzinski, Henning Müller:
Invnet: A Deep Learning Approach To Invert Complex Deformation Fields. ISBI 2021: 1302-1305 - [c276]Mara Graziani, Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva, Henning Müller, Vincent Andrearczyk:
Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability. MICCAI (3) 2021: 540-549 - [e25]K. Selçuk Candan, Bogdan Ionescu, Lorraine Goeuriot, Birger Larsen, Henning Müller, Alexis Joly, Maria Maistro, Florina Piroi, Guglielmo Faggioli, Nicola Ferro:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21-24, 2021, Proceedings. Lecture Notes in Computer Science 12880, Springer 2021, ISBN 978-3-030-85250-4 [contents] - [e24]Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec:
MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event. Proceedings of Machine Learning Research 156, PMLR 2021 [contents] - [i11]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - 2020
- [j77]Martin Bobák, Ladislav Hluchý, Ondrej Habala, Viet D. Tran, Reginald Cushing, Onno Valkering, Adam Belloum, Mara Graziani, Henning Müller, Souley Madougou, Jason Maassen:
Reference Exascale Architecture (Extended Version). Comput. Informatics 39(4): 644-677 (2020) - [j76]Reginald Cushing, Onno Valkering, Adam Belloum, Souley Madougou, Jason Maassen, Martin Bobák, Ondrej Habala, Viet D. Tran, Jan Meizner, Piotr Nowakowski, Mara Graziani, Henning Müller:
PROCESS Data Infrastructure and Data Services. Comput. Informatics 39(4): 724-756 (2020) - [j75]Mara Graziani, Ivan Eggel, François Deligand, Martin Bobák, Vincent Andrearczyk, Henning Müller:
Breast Histopathology with High-Performance Computing and Deep Learning. Comput. Informatics 39(4): 780-807 (2020) - [j74]Mara Graziani, Vincent Andrearczyk, Stéphane Marchand-Maillet, Henning Müller:
Concept attribution: Explaining CNN decisions to physicians. Comput. Biol. Medicine 123: 103865 (2020) - [j73]Oscar Alfonso Jiménez del Toro, Yashin Dicente Cid, Alexandra Platon, Anne-Lise Hachulla, Frédéric Lador, Pierre-Alexandre Poletti, Henning Müller:
A lung graph model for the radiological assessment of chronic thromboembolic pulmonary hypertension in CT. Comput. Biol. Medicine 125: 103962 (2020) - [j72]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Anal. 66: 101796 (2020) - [j71]Una Pale, Manfredo Atzori, Henning Müller, Alessandro Scano:
Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data. Sensors 20(15): 4297 (2020) - [j70]Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun:
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. IEEE J. Biomed. Health Informatics 24(1): 14-16 (2020) - [c275]Manfredo Atzori, Elisa Rosanda, Giorgio Pajardi, Franco Bassetto, Henning Müller:
Effect of movement type on the classification of electromyography data for the control of dexterous prosthetic hands. BioRob 2020: 746-751 - [c274]Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Dina Demner-Fushman, Henning Müller:
Overview of the VQA-Med Task at ImageCLEF 2020: Visual Question Answering and Generation in the Medical Domain. CLEF (Working Notes) 2020 - [c273]Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Dina Demner-Fushman, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Duc-Tien Dang-Nguyen, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Dimitri Fichou, Raul Berari, Paul Brie, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin:
Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. CLEF 2020: 311-341 - [c272]Alexis Joly, Hervé Goëau, Stefan Kahl, Benjamin Deneu, Maximilien Servajean, Elijah Cole, Lukás Picek, Rafael Luis Ruiz De Castañeda, Isabelle Bolon, Andrew Durso, Titouan Lorieul, Christophe Botella, Hervé Glotin, Julien Champ, Ivan Eggel, Willem-Pier Vellinga, Pierre Bonnet, Henning Müller:
Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction. CLEF 2020: 342-363 - [c271]Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Aleh Tarasau, Vassili Kovalev, Henning Müller:
Overview of ImageCLEFtuberculosis 2020 Automatic CT-based Report Generation. CLEF (Working Notes) 2020 - [c270]Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Henning Müller:
Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding. CLEF (Working Notes) 2020 - [c269]Bogdan Ionescu, Henning Müller, Renaud Péteri, Duc-Tien Dang-Nguyen, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Alba Garcia Seco de Herrera, Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M. Friedrich, Yashin Dicente Cid, Serge Kozlovski, Vitali Liauchuk, Vassili Kovalev, Raul Berari, Paul Brie, Dimitri Fichou, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin:
ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. ECIR (2) 2020: 533-541 - [c268]Alexis Joly, Hervé Goëau, Stefan Kahl, Christophe Botella, Rafael Luis Ruiz De Castaneda, Hervé Glotin, Elijah Cole, Julien Champ, Benjamin Deneu, Maximilien Servajean, Titouan Lorieul, Willem-Pier Vellinga, Fabian-Robert Stöter, Andrew Durso, Pierre Bonnet, Henning Müller:
LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges. ECIR (2) 2020: 542-549 - [c267]Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid, Henning Müller:
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading. EMBC 2020: 1758-1761 - [c266]Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori:
Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations. ICPR Workshops (1) 2020: 105-119 - [c265]Anjani Dhrangadhariya, Sebastian Otálora, Manfredo Atzori, Henning Müller:
Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing. ICPR Workshops (1) 2020: 154-166 - [c264]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 - [c263]Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori:
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 193-203 - [c262]Marek Wodzinski, Henning Müller:
Unsupervised Learning-Based Nonrigid Registration of High Resolution Histology Images. MLMI@MICCAI 2020: 484-493 - [c261]Juan S. Lara, Victor H. Contreras O., Sebastian Otálora, Henning Müller, Fabio A. González:
Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval. MICCAI (5) 2020: 572-581 - [c260]Amjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller:
Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. Medical Imaging: Digital Pathology 2020: 113200R - [c259]Sebastian Otálora, Manfredo Atzori, Amjad Khan, Oscar Alfonso Jiménez del Toro, Vincent Andrearczyk, Henning Müller:
Systematic comparison of deep learning strategies for weakly supervised Gleason grading. Medical Imaging: Digital Pathology 2020: 113200L - [c258]Anjani Dhrangadhariya, Sandy Millius, Cyril Thouly, Benoit Rizk, Dominique Fournier, Henning Müller, Hugues Brat:
Automating Quality Control for Structured Standardized Radiology Reports Using Text Analysis. MIE 2020: 58-62 - [c257]Anjani Dhrangadhariya, Roger Hilfiker, Roger Schaer, Henning Müller:
Machine Learning Assisted Citation Screening for Systematic Reviews. MIE 2020: 302-306 - [c256]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 - [c255]Henning Müller:
Medical Image Retrieval: Applications and Resources. ICMR 2020: 2-3 - [c254]Henning Müller, Vincent Andrearczyk, Oscar Alfonso Jiménez del Toro, Anjani Dhrangadhariya, Roger Schaer, Manfredo Atzori:
Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction. MMM (2) 2020: 553-564 - [c253]Marek Wodzinski, Henning Müller:
Learning-Based Affine Registration of Histological Images. WBIR 2020: 12-22 - [i10]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) - [i9]Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk:
Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. CoRR abs/2008.01478 (2020)
2010 – 2019
- 2019
- [j69]Oscar J. Perdomo, Hernán Rios, Francisco J. Rodríguez, Juan Sebastian Otálora Montenegro, Fabrice Mériaudeau, Henning Müller, Fabio A. González:
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography. Comput. Methods Programs Biomed. 178: 181-189 (2019) - [j68]Manfredo Atzori, Henning Müller:
PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows. Frontiers Neurorobotics 13: 74 (2019) - [j67]Sheng Long Lee, Mohammad Reza Zare, Henning Müller:
Late fusion of deep learning and handcrafted visual features for biomedical image modality classification. IET Image Process. 13(2): 382-391 (2019) - [j66]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) - [j65]Martin Braschler, Linda Cappellato, Fabio Crestani, Nicola Ferro, Gundula Heinatz Bürki, David E. Losada, Henning Müller, Andreas Rauber, Jacques Savoy:
Report on CLEF 2019. SIGIR Forum 53(2): 108-118 (2019) - [c252]Asma Ben Abacha, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Dina Demner-Fushman, Henning Müller:
VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019. CLEF (Working Notes) 2019 - [c251]Yashin Dicente Cid, Vitali Liauchuk, Dzmitri Klimuk, Aleh Tarasau, Vassili Kovalev, Henning Müller:
Overview of ImageCLEFtuberculosis 2019 - Automatic CT-based Report Generation and Tuberculosis Severity Assessment. CLEF (Working Notes) 2019 - [c250]Yashin Dicente Cid, Henning Müller:
Lung Graph-Model Classification with SVM and CNN for Tuberculosis Severity Assessment and Automatic CT Report Generation. CLEF (Working Notes) 2019 - [c249]Bogdan Ionescu, Henning Müller, Renaud Péteri, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Dzmitri Klimuk, Aleh Tarasau, Asma Ben Abacha, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Dina Demner-Fushman, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Obioma Pelka, Christoph M. Friedrich, Alba Garcia Seco de Herrera, Narciso García, Ergina Kavallieratou, Carlos Roberto del-Blanco, Carlos Cuevas, Nikos Vasilopoulos, Konstantinos Karampidis, Jon Chamberlain, Adrian F. Clark, Antonio Campello:
ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature. CLEF 2019: 358-386 - [c248]Alexis Joly, Hervé Goëau, Christophe Botella, Stefan Kahl, Maximilien Servajean, Hervé Glotin, Pierre Bonnet, Robert Planqué, Fabian-Robert Stöter, Willem-Pier Vellinga, Henning Müller:
Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction. CLEF 2019: 387-401 - [c247]Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Henning Müller:
Overview of the ImageCLEFmed 2019 Concept Detection Task. CLEF (Working Notes) 2019 - [c246]Alexis Joly, Hervé Goëau, Christophe Botella, Stefan Kahl, Marion Poupard, Maximilien Servajean, Hervé Glotin, Pierre Bonnet, Willem-Pier Vellinga, Robert Planqué, Jan Schlüter, Fabian-Robert Stöter, Henning Müller:
LifeCLEF 2019: Biodiversity Identification and Prediction Challenges. ECIR (2) 2019: 275-282 - [c245]Bogdan Ionescu, Henning Müller, Renaud Péteri, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Asma Ben Abacha, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M. Friedrich, Jon Chamberlain, Adrian F. Clark, Alba Garcia Seco de Herrera, Narciso García, Ergina Kavallieratou, Carlos Roberto del-Blanco, Carlos Cuevas, Nikos Vasilopoulos, Konstantinos Karampidis:
ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. ECIR (2) 2019: 301-308 - [c244]Mara Graziani, Henning Müller, Vincent Andrearczyk:
Interpreting Intentionally Flawed Models with Linear Probes. ICCV Workshops 2019: 743-747 - [c243]Matteo Cognolato, Lorenzo Brigato, Yashin Dicente Cid, Manfredo Atzori, Henning Müller:
Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement. ICORR 2019: 772-777 - [c242]Yashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Pierre-Alexandre Poletti, Henning Müller:
A Graph Model of the Lungs with Morphology-Based Structure for Tuberculosis Type Classification. IPMI 2019: 372-383 - [c241]Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller:
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Medical Imaging: Computer-Aided Diagnosis 2019: 109501R - [c240]Francesca Palermo, Matteo Cognolato, Ivan Eggel, Manfredo Atzori, Henning Müller:
An Augmented Reality Environment to Provide Visual Feedback to Amputees During sEMG Data Acquisitions. TAROS (2) 2019: 3-14 - [p14]Henning Müller, Allan Hanbury:
EaaS: Evaluation-as-a-Service and Experiences from the VISCERAL Project. Information Retrieval Evaluation in a Changing World 2019: 161-173 - [p13]Henning Müller, Jayashree Kalpathy-Cramer, Alba García Seco de Herrera:
Experiences from the ImageCLEF Medical Retrieval and Annotation Tasks. Information Retrieval Evaluation in a Changing World 2019: 231-250 - [p12]Alexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, Willem-Pier Vellinga, Jean-Christophe Lombardo, Robert Planqué, Simone Palazzo, Henning Müller:
Biodiversity Information Retrieval Through Large Scale Content-Based Identification: A Long-Term Evaluation. Information Retrieval Evaluation in a Changing World 2019: 389-413 - [e23]Linda Cappellato, Nicola Ferro, David E. Losada, Henning Müller:
Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019. CEUR Workshop Proceedings 2380, CEUR-WS.org 2019 [contents] - [e22]Fabio Crestani, Martin Braschler, Jacques Savoy, Andreas Rauber, Henning Müller, David E. Losada, Gundula Heinatz Bürki, Linda Cappellato, Nicola Ferro:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, September 9-12, 2019, Proceedings. Lecture Notes in Computer Science 11696, Springer 2019, ISBN 978-3-030-28576-0 [contents] - [i8]Mara Graziani, Vincent Andrearczyk, Henning Müller:
Regression Concept Vectors for Bidirectional Explanations in Histopathology. CoRR abs/1904.04520 (2019) - [i7]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. CoRR abs/1910.04071 (2019) - 2018
- [j64]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) - [j63]Alessandro Scano, Andrea Chiavenna, Lorenzo Molinari Tosatti, Henning Müller, Manfredo Atzori:
Muscle Synergy Analysis of a Hand-Grasp Dataset: A Limited Subset of Motor Modules May Underlie a Large Variety of Grasps. Frontiers Neurorobotics 12: 57 (2018) - [j62]Frank Hopfgartner, Allan Hanbury, Henning Müller, Ivan Eggel, Krisztian Balog, Torben Brodt, Gordon V. Cormack, Jimmy Lin, Jayashree Kalpathy-Cramer, Noriko Kando, Makoto P. Kato, Anastasia Krithara, Tim Gollub, Martin Potthast, Evelyne Viegas, Simon Mercer:
Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook. ACM J. Data Inf. Qual. 10(4): 15:1-15:32 (2018) - [j61]Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang:
Large-scale retrieval for medical image analytics: A comprehensive review. Medical Image Anal. 43: 66-84 (2018) - [c239]Matteo Cognolato, Manfredo Atzori, D. Faccio, Cesare Tiengo, F. Bassette, Roger Gassert, Henning Müller:
Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier. BioRob 2018: 156-161 - [c238]Vincent Andrearczyk, Henning Müller:
Deep Multimodal Classification of Image Types in Biomedical Journal Figures. CLEF 2018: 3-14 - [c237]Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Henning Müller:
Overview of ImageCLEFtuberculosis 2018 - Detecting Multi-Drug Resistance, Classifying Tuberculosis Types and Assessing Severity Scores. CLEF (Working Notes) 2018 - [c236]Yashin Dicente Cid, Henning Müller:
Texture-based Graph Model of the Lungs for Drug Resistance Detection, Tuberculosis Type Classification, and Severity Scoring: Participation in ImageCLEF 2018 Tuberculosis Task. CLEF (Working Notes) 2018 - [c235]