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ORCIDHenning Müller
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- affiliation: University of Applied Sciences Western Switzerland, Sierre
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2020 – today
- 2021
[j80]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)- [j79]Marek Wodzinski
, Henning Müller:
DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples. Comput. Methods Programs Biomed. 198: 105799 (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) - [c278]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 - [c277]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 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 - [c276]Marek Wodzinski, Henning Müller:
Invnet: A Deep Learning Approach To Invert Complex Deformation Fields. ISBI 2021: 1302-1305 - [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 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 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 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 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]Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Henning Müller, Matthew P. Lungren:
Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task. CLEF (Working Notes) 2018 - [c234]Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Henning Müller:
Overview of the ImageCLEF 2018 Caption Prediction Tasks. CLEF (Working Notes) 2018 - [c233]Alexis Joly, Hervé Goëau, Christophe Botella, Hervé Glotin, Pierre Bonnet, Willem-Pier Vellinga, Robert Planqué, Henning Müller:
Overview of LifeCLEF 2018: A Large-Scale Evaluation of Species Identification and Recommendation Algorithms in the Era of AI. CLEF 2018: 247-266 - [c232]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:
Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. CLEF 2018: 309-334 - [c231]Genevieve C. Y. Chan, Ravi Kamble, Henning Müller, Syed A. A. Shah, Tong Boon Tang, Fabrice Mériaudeau:
Fusing Results of Several Deep Learning Architectures for Automatic Classification of Normal and Diabetic Macular Edema in Optical Coherence Tomography. EMBC 2018: 670-673 - [c230]Gabriela Ramírez-de-la-Rosa, Esaú Villatoro, Bogdan Ionescu, Hugo Jair Escalante, Sergio Escalera, Martha A. Larson, Henning Müller, Isabelle Guyon:
Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest. CVAUI/IWCF/MIPPSNA@ICPR 2018: 127-139 - [c229]Sebastian Otálora, Oscar J. Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller:
Determining the scale of image patches using a deep learning approach. ISBI 2018: 843-846 - [c228]Oscar J. Perdomo, Sebastian Otálora, Fabio A. González, Fabrice Mériaudeau, Henning Müller:
OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes. ISBI 2018: 1423-1426 - [c227]Ivan Eggel, Roger Schaer, Henning Müller:
Distributed Container-Based Evaluation Platform for Private/Large Datasets. ISPDC 2018: 93-100 - [c226]Yashin Dicente Cid, Oula Puonti, Alexandra Platon, Koen Van Leemput, Henning Müller, Pierre-Alexandre Poletti:
An automatically generated texture-based atlas of the lungs. Medical Imaging: Computer-Aided Diagnosis 2018: 105753A - [c225]Mara Graziani, Vincent Andrearczyk, Henning Müller:
Regression Concept Vectors for Bidirectional Explanations in Histopathology. MLCN/DLF/iMIMIC@MICCAI 2018: 124-132 - [c224]Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller:
Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. COMPAY/OMIA@MICCAI 2018: 148-155 - [c223]Oscar J. Perdomo, Vincent Andrearczyk, Fabrice Mériaudeau, Henning Müller, Fabio A. González:
Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. COMPAY/OMIA@MICCAI 2018: 319-327 - [c222]Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein:
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) 2018: 388-395 - [c221]Yashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Alexandra Platon, Henning Müller, Pierre-Alexandre Poletti:
From Local to Global: A Holistic Lung Graph Model. MICCAI (2) 2018: 786-793 - [c220]Mikaël Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Läthén, Björn Norell, Oscar Alfonso Jiménez del Toro, Henning Müller, Manfredo Atzori:
Tumor proliferation assessment of whole slide images. Medical Imaging: Digital Pathology 2018: 105810Y - [c219]Maia Rohm, Bogdan Ionescu, Alexandru-Lucian Gînsca, Rodrygo L. T. Santos, Henning Müller:
Subdiv17: a dataset for investigating subjectivity in the visual diversification of image search results. MMSys 2018: 444-449 - [i6]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - 2017
- [j60]Alba Garcia Seco de Herrera, Roger Schaer, Henning Müller:
Shangri-La: A medical case-based retrieval tool. J. Assoc. Inf. Sci. Technol. 68(11): 2587-2601 (2017) - [j59]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) - [j58]Henning Müller, Devrim Ünay:
Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review. IEEE Trans. Multim. 19(9): 2093-2104 (2017) - [c218]Yashin Dicente Cid, Kayhan Batmanghelich, Henning Müller:
Textured Graph-model of the Lungs for Tuberculosis Type Classification and Drug Resistance Prediction: Participation in ImageCLEF 2017. CLEF (Working Notes) 2017 - [c217]Yashin Dicente Cid, Kayhan Batmanghelich, Henning Müller:
Textured Graph-Based Model of the Lungs: Application on Tuberculosis Type Classification and Multi-drug Resistance Detection. CLEF 2017: 157-168 - [c216]Yashin Dicente Cid, Alexander Kalinovsky, Vitali Liauchuk, Vassili Kovalev, Henning Müller:
Overview of the ImageCLEF 2017 Tuberculosis Task - Predicting Tuberculosis Type and Drug Resistances. CLEF (Working Notes) 2017 - [c215]Yashin Dicente Cid, Henning Müller, Kayhan Batmanghelich:
BatmanLab in the ImageCLEF Tuberculosis task 2017. CLEF (Working Notes) 2017 - [c214]Carsten Eickhoff, Immanuel Schwall, Alba Garcia Seco de Herrera, Henning Müller:
Overview of ImageCLEFcaption 2017 - Image Caption Prediction and Concept Detection for Biomedical Images. CLEF (Working Notes) 2017 - [c213]Alexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, Willem-Pier Vellinga, Jean-Christophe Lombardo, Robert Planqué, Simone Palazzo, Henning Müller:
LifeCLEF 2017 Lab Overview: Multimedia Species Identification Challenges. CLEF 2017: 255-274 - [c212]Bogdan Ionescu, Henning Müller, Mauricio Villegas, Helbert Arenas, Giulia Boato, Duc-Tien Dang-Nguyen, Yashin Dicente Cid, Carsten Eickhoff, Alba Garcia Seco de Herrera, Cathal Gurrin, Md Bayzidul Islam, Vassili Kovalev, Vitali Liauchuk, Josiane Mothe, Luca Piras, Michael Riegler, Immanuel Schwall:
Overview of ImageCLEF 2017: Information Extraction from Images. CLEF 2017: 315-337 - [c211]Liviu-Daniel Stefan, Yashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Bogdan Ionescu, Henning Müller:
Finding and Classifying Tuberculosis Types for a Targeted Treatment: MedGIFT-UPB Participation in the ImageCLEF 2017 Tuberculosis Task. CLEF (Working Notes) 2017 - [c210]Liviu-Daniel Stefan, Bogdan Ionescu, Henning Müller:
Generating Captions for Medical Images with a Deep Learning Multi-hypothesis Approach: ImageCLEF 2017 Caption Task. CLEF (Working Notes) 2017 - [c209]Francesca Giordaniello, Matteo Cognolato, Mara Graziani, Arjan Gijsberts, Valentina Gregori, Gianluca Saetta, Anne-Gabrielle Mittaz Hager, Cesare Tiengo, Franco Bassetto, Peter Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori:
Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics. ICORR 2017: 1148-1153 - [c208]Francesca Palermo, Matteo Cognolato, Arjan Gijsberts, Henning Müller, Barbara Caputo, Manfredo Atzori:
Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data. ICORR 2017: 1154-1159 - [c207]Muhammad Awais, Henning Müller, Tong Boon Tang, Fabrice Mériaudeau:
Classification of SD-OCT images using a Deep learning approach. ICSIPA 2017: 489-492 - [c206]Matteo Cognolato, Mara Graziani, Francesca Giordaniello, Gianluca Saetta, Franco Bassetto, Peter Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori:
Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers. ICVS 2017: 175-184 - [c205]