iMIMIC/MIL3ID/LABELS@MICCAI

Publications

2020

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)
Eren Bora Yilmaz, Alexander Oliver Mader, Tobias Fricke, Jaime Peña, Claus-Christian Glüer, Carsten Meyer
Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch
Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations. iMIMIC/MIL3ID/LABELS@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)
Xintong Li, Huijuan Yang, Zhiping Lin, Pavitra Krishnaswamy
Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
Semi-supervised Classification of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Maximilian Möller, Matthias Kohl, Stefan Braunewell, Florian Kofler, Benedikt Wiestler, Jan S. Kirschke, Björn H. Menze, Marie Piraud
Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Chongchong Song, Baochun He, Hongyu Chen, Shuangfu Jia, Xiaoxia Chen, Fucang Jia
Non-contrast CT Liver Segmentation Using CycleGAN Data Augmentation from Contrast Enhanced CT. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer
Labeling of Multilingual Breast MRI Reports. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Raja Muhammad Saad Bashir, Talha Qaiser, Shan-e-Ahmed Raza, Nasir M. Rajpoot
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Özgün Çiçek, Yassine Marrakchi, Enoch Boasiako Antwi, Barbara Di Ventura, Thomas Brox
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Tom van Sonsbeek, Veronika Cheplygina
Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman
Semi-supervised Machine Learning with MixMatch and Equivalence Classes. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
A Case Study of Transfer of Lesion-Knowledge. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Han Liu, Can Cui, Dario J. Englot, Benoit M. Dawant
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Lior Ness, Ella Barkan, Michal Ozery-Flato
Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Aniket Joshi, Gaurav Mishra, Jayanthi Sivaswamy
Explainable Disease Classification via Weakly-Supervised Segmentation. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Chao-Ting Li, Hung-Wen Tsai, Tseng-Lung Yang, Jung-Chi Lin, Nan-Haw Chow, Yu Hen Hu, Kuo-Sheng Cheng, Pau-Choo Chung
Imbalance-Effective Active Learning in Nucleus, Lymphocyte and Plasma Cell Detection. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo
EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth
Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina
Risk of Training Diagnostic Algorithms on Data with Demographic Bias. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Jihun Yoon, Jiwon Lee, SungHyun Park, Woo Jin Hyung, Min-Kook Choi
Semi-supervised Learning for Instrument Detection with a Class Imbalanced Dataset. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Jing Zhang, Caroline Petitjean, Florian Yger, Samia Ainouz
Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Long Chen, Weiwen Zhang, Yuli Wu, Martin Strauch, Dorit Merhof
Semi-supervised Instance Segmentation with a Learned Shape Prior. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Christof A. Bertram, Mitko Veta, Christian Marzahl, Nikolas Stathonikos, Andreas K. Maier, Robert Klopfleisch, Marc Aubreville
Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Andreas P. Hinterreiter, Marc Streit, Bernhard Kainz
Projective Latent Interventions for Understanding and Fine-Tuning Classifiers. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. iMIMIC/MIL3ID/LABELS@MICCAI (2020)

volume 12446, 2020

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings iMIMIC/MIL3ID/LABELS@MICCAI 12446 (2020)