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

11 September 2019

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

31 / 31 papers shown

Title
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 54 0 0 01 Apr 2025
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 47 7 0 17 Jan 2025
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 76 15 0 21 Jun 2024
Quantum Implicit Neural Representations Jiaming Zhao Wenbo Qiao Peng Zhang Hui Gao 60 3 0 06 Jun 2024
cryoSPHERE: Single-particle heterogeneous reconstruction from cryo EM Gabriel Ducrocq Lukas Grunewald S. Westenhoff Fredrik Lindsten 35 1 0 29 May 2024
Teaching Robots to Build Simulations of Themselves Yuhang Hu Jiong Lin Hod Lipson SSL 29 4 0 20 Nov 2023
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 DiffM MedIm 32 3 0 06 Sep 2023
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies E. Ye Yuhang Wang Hong Zhang Y. Gao Huan Wang H. Sun 36 2 0 23 Aug 2023
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 32 39 0 30 Jun 2023
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI S. Saitta M. Carioni Subhadip Mukherjee Carola-Bibiane Schönlieb A. Redaelli 28 9 0 24 Feb 2023
Boosted ab initio Cryo-EM 3D Reconstruction with ACE-EM Lin Yao Ruihan Xu Zhifeng Gao Guolin Ke Yuhang Wang 26 2 0 13 Feb 2023
Latent Space Diffusion Models of Cryo-EM Structures Karsten Kreis Tim Dockhorn Zihao Li Ellen D. Zhong DiffM 35 15 0 25 Nov 2022
Generalizable Implicit Neural Representations via Instance Pattern Composers Chiheon Kim Doyup Lee Saehoon Kim Minsu Cho Wook-Shin Han AI4CE 22 24 0 23 Nov 2022
TINC: Tree-structured Implicit Neural Compression Runzhao Yang Tingxiong Xiao Yuxiao Cheng J. Suo Qionghai Dai 35 11 0 12 Nov 2022
Track Targets by Dense Spatio-Temporal Position Encoding Jinkun Cao Hao Wu Kris Kitani ViT 32 12 0 17 Oct 2022
Streamable Neural Fields Junwoo Cho Seungtae Nam Daniel Rho J. Ko Eunbyung Park AI4TS 40 17 0 20 Jul 2022
Trading Positional Complexity vs. Deepness in Coordinate Networks Jianqiao Zheng Sameera Ramasinghe Xueqian Li Simon Lucey 31 18 0 18 May 2022
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations Zoe Landgraf A. Sorkine-Hornung R. Cabral 27 16 0 09 Feb 2022
Learning Positional Embeddings for Coordinate-MLPs Sameera Ramasinghe Simon Lucey 32 10 0 21 Dec 2021
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 85 617 0 22 Nov 2021
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 69 114 0 07 Nov 2021
3D Infomax improves GNNs for Molecular Property Prediction Hannes Stärk Dominique Beaini Gabriele Corso Prudencio Tossou Christian Dallago Stephan Günnemann Pietro Lio AI4CE 39 204 0 08 Oct 2021
Rethinking Positional Encoding Jianqiao Zheng Sameera Ramasinghe Simon Lucey 27 51 0 06 Jul 2021
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields Peng-Shuai Wang Yang Liu Yu-Qi Yang Xin Tong 3DPC 36 28 0 03 Jun 2021
FastNeRF: High-Fidelity Neural Rendering at 200FPS Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton Julien P. C. Valentin 13 632 0 18 Mar 2021
Reproducing Activation Function for Deep Learning Senwei Liang Liyao Lyu Chunmei Wang Haizhao Yang 36 21 0 13 Jan 2021
Wasserstein K-Means for Clustering Tomographic Projections R. Rao Amit Moscovich A. Singer 38 11 0 20 Oct 2020
Product Manifold Learning Sharon Zhang Amit Moscovich A. Singer 44 14 0 19 Oct 2020
S2RMs: Spatially Structured Recurrent Modules Nasim Rahaman Anirudh Goyal Muhammad Waleed Gondal M. Wuthrich Stefan Bauer Yash Sharma Yoshua Bengio Bernhard Schölkopf 21 14 0 13 Jul 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 60 2,353 0 18 Jun 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B. Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron R. Ramamoorthi Ren Ng 49 2,603 0 19 Mar 2020