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ORCIDMLCN@MICCAI 2022: Singapore
- Ahmed Abdulkadir
, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers:
Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13596, Springer 2022, ISBN 978-3-031-17898-6
Morphometry
- Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger:
Joint Reconstruction and Parcellation of Cortical Surfaces. 3-12 - Stefanos Ioannou, Hana Chockler, Alexander Hammers, Andrew P. King:
A Study of Demographic Bias in CNN-Based Brain MR Segmentation. 13-22 - Wooseok Jung, Chong Hyun Suh, Woo-Hyun Shim, Jinyoung Kim, Dongsoo Lee, Changhyun Park, Seo Taek Kong, Kyu-Hwan Jung, Hwon Heo, Sang Joon Kim:
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation. 23-31 - Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Hans J. Johnson, Omar Sherbini, Francesco Gavazzi, Russell D'Aiello, Adeline Vanderver, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz:
Self-supervised Test-Time Adaptation for Medical Image Segmentation. 32-41 - Kassymzhomart Kunanbayev, Donggon Jang, Woojin Jeong, Nahyun Kim, Dae-Shik Kim:
Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data. 42-51 - Adam Marcus, Paul Bentley, Daniel Rueckert:
Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network. 52-62 - Amirhossein Rasoulian, Soorena Salari, Yiming Xiao:
Weakly Supervised Intracranial Hemorrhage Segmentation Using Hierarchical Combination of Attention Maps from a Swin Transformer. 63-72 - Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey:
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. 73-82 - Veronica Ravano, Jean-François Démonet, Daniel Damian, Reto Meuli, Gian Franco Piredda, Till Huelnhagen, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Jonas Richiardi:
Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency. 83-92
Diagnostics, Aging, and Neurodegeneration
- Matías N. Bossa, Abel Díaz Berenguer, Hichem Sahli:
Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease. 95-103 - Elizabeth Haddad, Shayan Javid, Nikhil J. Dhinagar, Alyssa H. Zhu, Pradeep Lam, Iyad Ba Gari, Arpana Gupta, Paul M. Thompson, Talia M. Nir, Neda Jahanshad:
Lifestyle Factors That Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia. 104-114 - Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton, Laura M. Parkes, Ines Debove, Christian Rummel, Roland Wiest, Fernando Cendes, Rachel Guimaraes, Clarissa Lin Yasuda, Jiun-Jie Wang, Tim J. Anderson, John C. Dalrymple-Alford, Tracy R. Melzer, Toni L. Pitcher, Reinhold Schmidt, Petra Schwingenschuh, Gaëtan Garraux, Mario Rango, Letizia Squarcina, Sarah Al-Bachari, Hedley C. A. Emsley, Johannes C. Klein, Clare E. Mackay, Michiel F. Dirkx, Rick C. Helmich, Francesca Assogna, Fabrizio Piras, Joanna K. Bright, Gianfranco Spalletta, Kathleen Poston, Christine Lochner, Corey T. McMillan, Daniel Weintraub, Jason Druzgal, Benjamin Newman, Odile A. van den Heuvel, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris Gutman:
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. 115-124 - Dongsoo Lee, Chong Hyun Suh, Jinyoung Kim, Wooseok Jung, Changhyun Park, Kyu-Hwan Jung, Seo Taek Kong, Woo-Hyun Shim, Hwon Heo, Sang Joon Kim:
Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction. 125-134 - Margherita Rosnati, Eyal Soreq, Miguel Monteiro, Lucia M. Li, Neil S. N. Graham, Karl Zimmerman, Carlotta Rossi, Greta Carrara, Guido Bertolini, David J. Sharp, Ben Glocker:
Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury. 135-146 - Christian Gerloff, Kerstin Konrad, Jana Kruppa, Martin Schulte-Rüther, Vanessa Reindl:
Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning? 147-157 - Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen:
fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models. 158-168 - Marc-Andre Schulz, Alexander Koch, Vanessa Emanuela Guarino, Dagmar Kainmueller, Kerstin Ritter:
Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction. 169-178
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