Shayan Shekarforoush

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Top Venues

Publications

Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. CoRR (2024)
Shayan Shekarforoush, Amanpreet Walia, Marcus A. Brubaker, Konstantinos G. Derpanis, Alex Levinshtein
Dual-Camera Joint Deblurring-Denoising. CoRR (2023)
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
Residual Multiplicative Filter Networks for Multiscale Reconstruction. CoRR (2022)
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
Residual Multiplicative Filter Networks for Multiscale Reconstruction. NeurIPS (2022)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. IPMI (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
Graph Convolution Based Attention Model for Personalized Disease Prediction. MICCAI (4) (2019)
Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten Kortuem, Shadi Albarqouni, Nassir Navab
Self-Attention Equipped Graph Convolutions for Disease Prediction. ISBI (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR (2019)
Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten Kortuem, Shadi Albarqouni, Nassir Navab
Self-Attention Equipped Graph Convolutions for Disease Prediction. CoRR (2018)