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

Front Matter ....Pages I-XVI
Front Matter ....Pages 1-1
 Alzheimer’s Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes  (Clement Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi, for the Alzheimer’s Disease Neuroimaging Initiative)....Pages 3-14
 Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer’s Disease  (Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi, for the Alzheimer’s Disease Neuroimaging Initiative)....Pages 15-23
 Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer’s Disease  (Johannes Rieke, Fabian Eitel, Martin Weygandt, John-Dylan Haynes, Kerstin Ritter)....Pages 24-31
 Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data  (Roberto Vega, Russ Greiner)....Pages 32-39
Front Matter ....Pages 41-41
 Towards Robust CT-Ultrasound Registration Using Deep Learning Methods  (Yuanyuan Sun, Adriaan Moelker, Wiro J. Niessen, Theo van Walsum)....Pages 43-51
 To Learn or Not to Learn Features for Deformable Registration?  (Aabhas Majumdar, Raghav Mehta, Jayanthi Sivaswamy)....Pages 52-60
 Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning  (James R. Clough, Daniel R. Balfour, Claudia Prieto, Andrew J. Reader, Paul K. Marsden, Andrew P. King)....Pages 61-69
 Exploring Adversarial Examples  (David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay)....Pages 70-78
 Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks  (Muhan Shao, Shuo Han, Aaron Carass, Xiang Li, Ari M. Blitz, Jerry L. Prince et al.)....Pages 79-86
 Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks  (Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh)....Pages 87-94
Front Matter ....Pages 95-95
 Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images  (Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogerio Feris, John R. Smith)....Pages 97-105
 Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment  (Sérgio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva)....Pages 106-114
 Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification  (Pieter Van Molle, Miguel De Strooper, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt)....Pages 115-123
 Regression Concept Vectors for Bidirectional Explanations in Histopathology  (Mara Graziani, Vincent Andrearczyk, Henning Müller)....Pages 124-132
 Towards Complementary Explanations Using Deep Neural Networks  (Wilson Silva, Kelwin Fernandes, Maria J. Cardoso, Jaime S. Cardoso)....Pages 133-140
 How Users Perceive Content-Based Image Retrieval for Identifying Skin Images  (Mahya Sadeghi, Parmit K. Chilana, M. Stella Atkins)....Pages 141-148
Back Matter ....Pages 149-149