ML-CDS@MICCAI

Keyphrases

Publications

2021

Yafeng Li, Yiyao Liu, Tianfu Wang, Baiying Lei
A Method for Predicting Alzheimer's Disease Based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction. ML-CDS@MICCAI (2021)
Kaitlin M. Stouffer, Zhenzhen Wang, Eileen Xu, Karl Lee, Paige Lee, Michael I. Miller, Daniel Jacob Tward
From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data. ML-CDS@MICCAI (2021)
Yun Zhu, Xuegang Song, Yali Qiu, Chen Zhao, Baiying Lei
Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction. ML-CDS@MICCAI (2021)
Winston Zhang, Najla Al Turkestani, Jonas Bianchi, Celia Le, Romain Deleat-Besson, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Juan Prieto, Beatriz Paniagua, Jonathan Gryak, Kayvan Najarian, Reza Soroushmehr
Feature Selection for Privileged Modalities in Disease Classification. ML-CDS@MICCAI (2021)
Sobhan Moazemi, Markus Essler, Thomas Schultz, Ralph A. Bundschuh
Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support. ML-CDS@MICCAI (2021)
Mafe Roa, Laura Alexandra Daza, María Escobar, Angela Castillo, Pablo Arbelaez
SAMA: Spatially-Aware Multimodal Network with Attention For Early Lung Cancer Diagnosis. ML-CDS@MICCAI (2021)
Hizir Can Bayram, Islem Rekik
A Federated Multigraph Integration Approach for Connectional Brain Template Learning. ML-CDS@MICCAI (2021)
Romain Deleat-Besson, Celia Le, Winston Zhang, Najla Al Turkestani, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Marcela Lima Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Kayvan Najarian, Jonathan Gryak, Martin Styner, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Loris Bert, Reza Soroushmehr, Juan Prieto
Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images. ML-CDS@MICCAI (2021)
Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Eric O. Aboagye, Ben Glocker, Andrea G. Rockall
Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification. ML-CDS@MICCAI (2021)
Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge
Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. ML-CDS@MICCAI (2021)

volume 13050, 2021

Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings ML-CDS@MICCAI 13050 (2021)