MLCN/DLF/iMIMIC@MICCAI

Publications

2018

Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Alzheimer's Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes. MLCN/DLF/iMIMIC@MICCAI (2018)
Mahya Sadeghi, Parmit K. Chilana, M. Stella Atkins
How Users Perceive Content-Based Image Retrieval for Identifying Skin Images. MLCN/DLF/iMIMIC@MICCAI (2018)
Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. MLCN/DLF/iMIMIC@MICCAI (2018)
Pieter Van Molle, Miguel De Strooper, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification. MLCN/DLF/iMIMIC@MICCAI (2018)
Muhan Shao, Shuo Han, Aaron Carass, Xiang Li, Ari M. Blitz, Jerry L. Prince, Lotta Maria Ellingsen
Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks. MLCN/DLF/iMIMIC@MICCAI (2018)
James R. Clough, Daniel R. Balfour, Claudia Prieto, Andrew J. Reader, Paul K. Marsden, Andrew P. King
Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. MLCN/DLF/iMIMIC@MICCAI (2018)
David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay
Exploring Adversarial Examples - Patterns of One-Pixel Attacks. MLCN/DLF/iMIMIC@MICCAI (2018)
Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. MLCN/DLF/iMIMIC@MICCAI (2018)
Yuanyuan Sun, Adriaan Moelker, Wiro J. Niessen, Theo van Walsum
Towards Robust CT-Ultrasound Registration Using Deep Learning Methods. MLCN/DLF/iMIMIC@MICCAI (2018)
Wilson Silva, Kelwin Fernandes, Maria João Cardoso, Jaime S. Cardoso
Towards Complementary Explanations Using Deep Neural Networks. MLCN/DLF/iMIMIC@MICCAI (2018)
Aabhas Majumdar, Raghav Mehta, Jayanthi Sivaswamy
To Learn or Not to Learn Features for Deformable Registration? MLCN/DLF/iMIMIC@MICCAI (2018)
Mara Graziani, Vincent Andrearczyk, Henning Müller
Regression Concept Vectors for Bidirectional Explanations in Histopathology. MLCN/DLF/iMIMIC@MICCAI (2018)
Roberto Vega, Russell Greiner
Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data. MLCN/DLF/iMIMIC@MICCAI (2018)
Johannes Rieke, Fabian Eitel, Martin Weygandt, John-Dylan Haynes, Kerstin Ritter
Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer's Disease. MLCN/DLF/iMIMIC@MICCAI (2018)
Sérgio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva
Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment. MLCN/DLF/iMIMIC@MICCAI (2018)
Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease. MLCN/DLF/iMIMIC@MICCAI (2018)

volume 11038, 2018

Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings MLCN/DLF/iMIMIC@MICCAI 11038 (2018)