InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. - Anees Kazi; Shayan Shekarforoush; S. Arvind Krishna; Hendrik Burwinkel; Gerome Vivar; Karsten Kortüm; Seyed-Ahmad Ahmadi; Shadi Albarqouni; Nassir Navab (IPMI, 2019)

Self-Attention Equipped Graph Convolutions for Disease Prediction. - Anees Kazi; S. Arvind Krishna; Shayan Shekarforoush; Karsten U. Kortuem; Shadi Albarqouni; Nassir Navab (ISBI, 2019)

Graph Convolution Based Attention Model for Personalized Disease Prediction. - Anees Kazi; Shayan Shekarforoush; S. Arvind Krishna; Hendrik Burwinkel; Gerome Vivar; Benedikt Wiestler; Karsten Kortüm; Seyed-Ahmad Ahmadi; Shadi Albarqouni; Nassir Navab (MICCAI (4), 2019)

Residual Multiplicative Filter Networks for Multiscale Reconstruction. - Shayan Shekarforoush; David B. Lindell; David J. Fleet; Marcus A. Brubaker (NeurIPS, 2022)

Dual-Camera Joint Deblurring-Denoising. - Shayan Shekarforoush; Amanpreet Walia; Marcus A. Brubaker; Konstantinos G. Derpanis; Alex Levinshtein (CoRR, 2023)

CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. - Shayan Shekarforoush; David B. Lindell; Marcus A. Brubaker; David J. Fleet (NeurIPS, 2024)

Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. - Shayan Shekarforoush; David B. Lindell; Marcus A. Brubaker; David J. Fleet (CoRR, 2024)

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery. - Shayan Shekarforoush; David B. Lindell; Marcus A. Brubaker; David J. Fleet (CoRR, 2025)