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Reconstructing continuous distributions of 3D protein structure from
  cryo-EM images
v1v2v3 (latest)

Reconstructing continuous distributions of 3D protein structure from cryo-EM images

11 September 2019
Ellen D. Zhong
Tristan Bepler
Joseph H. Davis
Bonnie Berger
    3DV
ArXiv (abs)PDFHTML

Papers citing "Reconstructing continuous distributions of 3D protein structure from cryo-EM images"

50 / 53 papers shown
Title
I-INR: Iterative Implicit Neural Representations
I-INR: Iterative Implicit Neural Representations
Ali Haider
Muhammad Salman Ali
Maryam Qamar
Tahir Khalil
Soo Ye Kim
Jihyong Oh
Enzo Tartaglione
Sung-Ho Bae
75
0
0
24 Apr 2025
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration
Yi-Tang Chen
Haoyu Li
Neng Shi
Xihaier Luo
Wei Xu
Han-Wei Shen
159
1
0
01 Apr 2025
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
Minkyu Jeon
Rishwanth Raghu
Miro A. Astore
Geoffrey Woollard
Ryan Feathers
Alkin Kaz
Sonya M. Hanson
Pilar Cossio
Ellen D. Zhong
94
10
0
17 Jan 2025
Mixture of neural fields for heterogeneous reconstruction in cryo-EM
Mixture of neural fields for heterogeneous reconstruction in cryo-EM
Axel Levy
Rishwanth Raghu
David Shustin
Adele Rui-Yang Peng
Huan Li
Oliver Biggs Clarke
Gordon Wetzstein
Ellen D. Zhong
94
0
0
12 Dec 2024
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
Jongmin Lee
Minsu Cho
90
1
0
01 Nov 2024
MING: A Functional Approach to Learning Molecular Generative Models
MING: A Functional Approach to Learning Molecular Generative Models
Van Khoa Nguyen
Maciej Falkiewicz
Giangiacomo Mercatali
Alexandros Kalousis
DiffMAI4CE
64
0
0
16 Oct 2024
Frequency-adaptive Multi-scale Deep Neural Networks
Frequency-adaptive Multi-scale Deep Neural Networks
Jizu Huang
Rukang You
Tao Zhou
AI4CE
95
2
0
28 Sep 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Nemin Wu
Qian Cao
Zhangyu Wang
Zeping Liu
Yanlin Qi
...
Stefano Ermon
T. Ganu
A. Nambi
Ni Lao
Gengchen Mai
221
20
0
21 Jun 2024
NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity
NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity
Akshat Dave
Tianyi Zhang
Aaron Young
Ramesh Raskar
Wolfgang Heidrich
Ashok Veeraraghavan
143
2
0
14 Jun 2024
Quantum Implicit Neural Representations
Quantum Implicit Neural Representations
Jiaming Zhao
Wenbo Qiao
Peng Zhang
Hui Gao
74
4
0
06 Jun 2024
cryoSPHERE: Single-particle heterogeneous reconstruction from cryo EM
cryoSPHERE: Single-particle heterogeneous reconstruction from cryo EM
Gabriel Ducrocq
Lukas Grunewald
S. Westenhoff
Fredrik Lindsten
81
1
0
29 May 2024
An Overview of Diffusion Models: Applications, Guided Generation,
  Statistical Rates and Optimization
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
Minshuo Chen
Song Mei
Jianqing Fan
Mengdi Wang
VLMMedImDiffM
124
59
0
11 Apr 2024
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D
  Reconstruction from Limited 2D Microscopy Projections
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
Mude Hui
Zihao Wei
Hongru Zhu
Fei Xia
Yuyin Zhou
MedIm
66
8
0
16 Mar 2024
Improved Implicit Neural Representation with Fourier Reparameterized
  Training
Improved Implicit Neural Representation with Fourier Reparameterized Training
Kexuan Shi
Xingyu Zhou
Shuhang Gu
148
21
0
15 Jan 2024
Equivariant Scalar Fields for Molecular Docking with Fast Fourier
  Transforms
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
Bowen Jing
Tommi Jaakkola
Bonnie Berger
52
2
0
07 Dec 2023
Teaching Robots to Build Simulations of Themselves
Teaching Robots to Build Simulations of Themselves
Yuhang Hu
Jiong Lin
Hod Lipson
SSL
137
5
0
20 Nov 2023
Univariate Radial Basis Function Layers: Brain-inspired Deep Neural
  Layers for Low-Dimensional Inputs
Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs
Daniel Jost
Basavasagar Patil
Xavier Alameda-Pineda
Chris Reinke
23
0
0
07 Nov 2023
SSIF: Learning Continuous Image Representation for Spatial-Spectral
  Super-Resolution
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution
Gengchen Mai
Ni Lao
Weiwei Sun
Yuchi Ma
Jiaming Song
Chenlin Meng
Hongxu Ma
Jinmeng Rao
Ziyuan Li
Stefano Ermon
71
4
0
30 Sep 2023
CoNeS: Conditional neural fields with shift modulation for
  multi-sequence MRI translation
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation
Yunjie Chen
Marius Staring
O. M. Neve
Stephan R. Romeijn
Erik F. Hensen
Berit M. Verbist
J. Wolterink
Qian Tao
DiffMMedIm
79
3
0
06 Sep 2023
ResFields: Residual Neural Fields for Spatiotemporal Signals
ResFields: Residual Neural Fields for Spatiotemporal Signals
Marko Mihajlovic
Sergey Prokudin
Marc Pollefeys
Siyu Tang
102
18
0
06 Sep 2023
Robust Point Cloud Processing through Positional Embedding
Robust Point Cloud Processing through Positional Embedding
Jianqiao Zheng
Xueqian Li
Sameera Ramasinghe
Simon Lucey
3DPC
88
5
0
01 Sep 2023
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron
  Microscopy Movies
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies
E. Ye
Yuhang Wang
Hong Zhang
Y. Gao
Huan Wang
H. Sun
72
2
0
23 Aug 2023
Improved Cryo-EM Pose Estimation and 3D Classification through
  Latent-Space Disentanglement
Improved Cryo-EM Pose Estimation and 3D Classification through Latent-Space Disentanglement
Wei Chen
Yuhang Wang
Lin Yao
DRL
31
1
0
09 Aug 2023
Equivariant Single View Pose Prediction Via Induced and Restricted
  Representations
Equivariant Single View Pose Prediction Via Induced and Restricted Representations
Owen Howell
David Klee
Ondrej Biza
Linfeng Zhao
Robin Walters
86
6
0
07 Jul 2023
Sphere2Vec: A General-Purpose Location Representation Learning over a
  Spherical Surface for Large-Scale Geospatial Predictions
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Gengchen Mai
Yao Xuan
Wen-Hang Zuo
Yutong He
Jiaming Song
Stefano Ermon
K. Janowicz
Ni Lao
98
43
0
30 Jun 2023
CryoFormer: Continuous Heterogeneous Cryo-EM Reconstruction using
  Transformer-based Neural Representations
CryoFormer: Continuous Heterogeneous Cryo-EM Reconstruction using Transformer-based Neural Representations
Xinhang Liu
Yan Zeng
Yifan Qin
Hao Li
Jiakai Zhang
Lan Xu
Jingyi Yu
ViT
55
2
0
28 Mar 2023
Implicit neural representations for unsupervised super-resolution and
  denoising of 4D flow MRI
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI
S. Saitta
M. Carioni
Subhadip Mukherjee
Carola-Bibiane Schönlieb
A. Redaelli
63
9
0
24 Feb 2023
Boosted ab initio Cryo-EM 3D Reconstruction with ACE-EM
Boosted ab initio Cryo-EM 3D Reconstruction with ACE-EM
Lin Yao
Ruihan Xu
Zhifeng Gao
Guolin Ke
Yuhang Wang
44
2
0
13 Feb 2023
Latent Space Diffusion Models of Cryo-EM Structures
Latent Space Diffusion Models of Cryo-EM Structures
Karsten Kreis
Tim Dockhorn
Zihao Li
Ellen D. Zhong
DiffM
64
16
0
25 Nov 2022
Generalizable Implicit Neural Representations via Instance Pattern
  Composers
Generalizable Implicit Neural Representations via Instance Pattern Composers
Chiheon Kim
Doyup Lee
Saehoon Kim
Minsu Cho
Wook-Shin Han
AI4CE
86
25
0
23 Nov 2022
TINC: Tree-structured Implicit Neural Compression
TINC: Tree-structured Implicit Neural Compression
Runzhao Yang
Tingxiong Xiao
Yuxiao Cheng
J. Suo
Qionghai Dai
106
11
0
12 Nov 2022
Track Targets by Dense Spatio-Temporal Position Encoding
Track Targets by Dense Spatio-Temporal Position Encoding
Jinkun Cao
Hao Wu
Kris Kitani
ViT
70
14
0
17 Oct 2022
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
Axel Levy
Gordon Wetzstein
Julien N. P. Martel
Frédéric Poitevin
Ellen D. Zhong
70
38
0
13 Oct 2022
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical
  Data
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data
Runzhao Yang
Tingxiong Xiao
Yuxiao Cheng
Qi Cao
Jinyuan Qu
J. Suo
Qionghai Dai
118
15
0
30 Sep 2022
Streamable Neural Fields
Streamable Neural Fields
Junwoo Cho
Seungtae Nam
Daniel Rho
J. Ko
Eunbyung Park
AI4TS
70
17
0
20 Jul 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
AI4CE
110
32
0
29 Jun 2022
Trading Positional Complexity vs. Deepness in Coordinate Networks
Trading Positional Complexity vs. Deepness in Coordinate Networks
Jianqiao Zheng
Sameera Ramasinghe
Xueqian Li
Simon Lucey
95
19
0
18 May 2022
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D
  Molecular Volumes from Real Cryo-EM Images
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images
Axel Levy
Frédéric Poitevin
Julien N. P. Martel
Y. Nashed
A. Peck
Nina Miolane
Daniel Ratner
Mike Dunne
Gordon Wetzstein
77
42
0
15 Mar 2022
PINs: Progressive Implicit Networks for Multi-Scale Neural
  Representations
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
Zoe Landgraf
A. Sorkine-Hornung
R. Cabral
63
16
0
09 Feb 2022
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface
  for Geospatial Predictions
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions
Gengchen Mai
Yao Xuan
Wenyun Zuo
K. Janowicz
Ni Lao
32
4
0
25 Jan 2022
Learning Positional Embeddings for Coordinate-MLPs
Learning Positional Embeddings for Coordinate-MLPs
Sameera Ramasinghe
Simon Lucey
86
10
0
21 Dec 2021
Neural Fields in Visual Computing and Beyond
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Shunsuke Saito
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
3DH
228
634
0
22 Nov 2021
A Review of Location Encoding for GeoAI: Methods and Applications
A Review of Location Encoding for GeoAI: Methods and Applications
Gengchen Mai
K. Janowicz
Yingjie Hu
Song Gao
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
137
120
0
07 Nov 2021
3D Infomax improves GNNs for Molecular Property Prediction
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk
Dominique Beaini
Gabriele Corso
Prudencio Tossou
Christian Dallago
Stephan Günnemann
Pietro Lio
AI4CE
110
208
0
08 Oct 2021
Rethinking Positional Encoding
Rethinking Positional Encoding
Jianqiao Zheng
Sameera Ramasinghe
Simon Lucey
81
52
0
06 Jul 2021
Spline Positional Encoding for Learning 3D Implicit Signed Distance
  Fields
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields
Peng-Shuai Wang
Yang Liu
Yu-Qi Yang
Xin Tong
3DPC
123
29
0
03 Jun 2021
FastNeRF: High-Fidelity Neural Rendering at 200FPS
FastNeRF: High-Fidelity Neural Rendering at 200FPS
Stephan J. Garbin
Marek Kowalski
Matthew W. Johnson
Jamie Shotton
Julien P. C. Valentin
116
648
0
18 Mar 2021
Reproducing Activation Function for Deep Learning
Reproducing Activation Function for Deep Learning
Senwei Liang
Liyao Lyu
Chunmei Wang
Haizhao Yang
73
23
0
13 Jan 2021
Wasserstein K-Means for Clustering Tomographic Projections
Wasserstein K-Means for Clustering Tomographic Projections
R. Rao
Amit Moscovich
A. Singer
62
12
0
20 Oct 2020
Product Manifold Learning
Product Manifold Learning
Sharon Zhang
Amit Moscovich
A. Singer
85
14
0
19 Oct 2020
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