Shayan Shekarforoush

According to our database, Shayan Shekarforoush authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dual-Camera Joint Deblurring-Denoising.

Shayan Shekarforoush, Amanpreet Walia, Marcus A. Brubaker, Konstantinos G. Derpanis, Alex Levinshtein

CoRR, 2023

2022

Residual Multiplicative Filter Networks for Multiscale Reconstruction.

Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Self-Attention Equipped Graph Convolutions for Disease Prediction.

Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

Proceedings of the Information Processing in Medical Imaging, 2019