Research Interest
In my thesis, I studied 3D Reconstruction of biomolecules using cryo-EM, a transformational scientific imaging technique.
Specifially, I've worked on Neural Fields and Gaussian Splatting to model biological structures and their dynamics. Also, I've worked on 3D Pose Estimation for cryo-EM.
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Selected Publications
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Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery
Shayan Shekarforoush,
David Lindell,
Marcus Brubaker,
David Fleet
arXiv /
project page
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CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
Shayan Shekarforoush,
David Lindell,
Marcus Brubaker,
David Fleet
NeurIPS 2024
arXiv /
project page /
code /
Oral (MLSB Workshop)
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Dual-Camera Joint Deblurring-Denoising
Shayan Shekarforoush,
Aman Walia,
Marcus Brubaker,
Kosta Derpanis,
Alex Levinshtein
arXiv /
project page
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Residual Multiplicative Filter Networks for Multiscale Reconstruction
Shayan Shekarforoush,
David Lindell,
David Fleet,
Marcus Brubaker
NeurIPS 2022
arXiv /
project page /
code
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Physics aware inference for the cryo-EM inverse problem
Geoffrey Woollard,
Shayan Shekarforoush,
Frank Wood,
Marcus Brubaker,
Khanh Dao Duc
NeurIPS MLSB Workshop 2022
paper
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Graph Convolution Based Attention Model for Personalized Disease Prediction
Anees Kazi,
Shayan Shekarforoush,
S.Arvind Krishna,
Hendrik Burwinkel,
Gerome Vivar,
Benedict Wiestler,
Karsten Kortum,
Seyed-Ahmad Ahmadi,
Shadi Albarqouni,
Nassir Navab
MICCAI 2019
paper
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InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
Anees Kazi,
Shayan Shekarforoush,
S.Arvind Krishna,
Hendrik Burwinkel,
Gerome Vivar,
Karsten Kortuem,
Seyed-Ahmad Ahmadi,
Shadi Albarqouni,
Nassir Navab
IPMI 2019 (Oral Presentation)
arXiv /
code
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Academic Service
Reviewer: NeurIPS, ICLR, ICML, ICCV, WACV
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