Abstract is missing.
- Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive LearningMichael Tran Duong, Sandhitsu R. Das, Pulkit Khandelwal, Xueying Lyu, Long Xie, Paul A. Yushkevich, David A. Wolk, Ilya M. Nasrallah. 3-13 [doi]
- Multi-shell dMRI Estimation from Single-Shell Data via Deep LearningReagan Dugan, Owen T. Carmichael. 14-22 [doi]
- A Three-Player GAN for Super-Resolution in Magnetic Resonance ImagingQi Wang, Lucas Mahler, Julius Steiglechner, Florian Birk, Klaus Scheffler, Gabriele Lohmann. 23-33 [doi]
- Cross-Attention for Improved Motion Correction in Brain PETZhuotong Cai, Tianyi Zeng, Eléonore V. Lieffrig, Jiazhen Zhang, Fuyao Chen, Takuya Toyonaga, Chenyu You, Jingmin Xin, Nanning Zheng 0001, Yihuan Lu, James S. Duncan, John A. Onofrey. 34-45 [doi]
- VesselShot: Few-shot Learning for Cerebral Blood Vessel SegmentationMumu Aktar, Hassan Rivaz, Marta Kersten-Oertel, Yiming Xiao. 46-55 [doi]
- WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility ImagingZhenghan Fang, Hyeong-Geol Shin, Peter C. M. van Zijl, Xu Li 0003, Jeremias Sulam. 56-66 [doi]
- Joint Estimation of Neural Events and Hemodynamic Response Functions from Task fMRI via Convolutional Neural NetworksKai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Krystal Kirby, Arend W. A. Van Gemmert, Lydia Bazzano, Owen T. Carmichael. 67-78 [doi]
- Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging BrainElizabeth Haddad, Myrl G. Marmarelis, Talia M. Nir, Aram Galstyan, Greg Ver Steeg, Neda Jahanshad. 91-101 [doi]
- MixUp Brain-Cortical Augmentations in Self-supervised LearningCorentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis. 102-111 [doi]
- Brain Age Prediction Based on Head Computed Tomography SegmentationArtur Paulo, Fabiano Filho, Tayran Olegário, Bruna Pinto, Rafael Loureiro, Guilherme Ribeiro, Camila Silva, Regiane Carvalho, Paulo Santos, Eduardo Reis, Giovanna Mendes, Joselisa de Paiva, Márcio Reis, Letícia Rittner. 112-122 [doi]
- Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder ClassificationLucas Mahler, Qi Wang, Julius Steiglechner, Florian Birk, Samuel Heczko, Klaus Scheffler, Gabriele Lohmann. 123-132 [doi]
- Copy Number Variation Informs fMRI-Based Prediction of Autism Spectrum DisorderNicha C. Dvornek, Catherine Sullivan, James S. Duncan, Abha R. Gupta. 133-142 [doi]
- Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI ScansAnoop Benet Nirmala, Tanweer Rashid, Elyas Fadaee, Nicolas Honnorat, Karl Li, Sokratis Charisis, Di Wang, Aishwarya Vemula, Jinqi Li, Peter Fox, Timothy E. Richardson, Jamie M. Walker, Kevin Bieniek, Sudha Seshadri, Mohamad Habes. 143-152 [doi]
- Stroke Outcome and Evolution Prediction from CT Brain Using a Spatiotemporal Diffusion AutoencoderAdam Marcus 0003, Paul Bentley, Daniel Rueckert. 153-162 [doi]
- Morphological Versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional ModesPetra Lenzini, Thomas Earnest, Sung Min Ha, Abdalla Bani, Aristeidis Sotiras, Janine Bijsterbosch. 163-172 [doi]