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MLCN/DLF/iMIMIC@MICCAI
2018
2018
2018
Keyphrases
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)