AquaSAXS: a web server for computation and fitting of SAXS profiles with non-uniformally hydrated atomic models. - Frédéric Poitevin; Henri Orland; Sebastian Doniach; Patrice Koehl; Marc Delarue (Nucleic Acids Res., 2011)

Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks. - Nina Miolane; Frédéric Poitevin; Yee-Ting Li; Susan P. Holmes (CVPR Workshops, 2020)

CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. - Youssef S. G. Nashed; Frédéric Poitevin; Harshit Gupta; Geoffrey Woollard; Michael Kagan; Chun Hong Yoon; Daniel Ratner (ICCVW, 2021)

MorphOT: transport-based interpolation between EM maps with UCSF ChimeraX. - Arthur Ecoffet; Frédéric Poitevin; Khanh Dao Duc (Bioinform., 2021)

End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. - Youssef S. G. Nashed; Frédéric Poitevin; Harshit Gupta; Geoffrey Woollard; Michael Kagan; Chuck Yoon; Daniel Ratner (CoRR, 2021)

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; Youssef S. G. Nashed; Ariana Peck; Nina Miolane; Daniel Ratner; Mike Dunne; Gordon Wetzstein (ECCV (21), 2022)

Amortized Inference for Heterogeneous Reconstruction in Cryo-EM. - Axel Levy; Gordon Wetzstein; Julien N. P. Martel; Frédéric Poitevin; Ellen D. Zhong (NeurIPS, 2022)

Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy. - Claire Donnat; Axel Levy; Frédéric Poitevin; Nina Miolane (CoRR, 2022)

Heterogeneous reconstruction of deformable atomic models in Cryo-EM. - Youssef S. G. Nashed; Ariana Peck; Julien N. P. Martel; Axel Levy; Bongjin Koo; Gordon Wetzstein; Nina Miolane; Daniel Ratner; Frédéric Poitevin (CoRR, 2022)

Reconstructing Heterogeneous Cryo-EM Molecular Structures by Decomposing Them into Polymer Chains. - Bongjin Koo; Julien N. P. Martel; Ariana Peck; Axel Levy; Frédéric Poitevin; Nina Miolane (CoRR, 2023)

Identifying Interpretable Visual Features in Artificial and Biological Neural Systems. - David A. Klindt; Sophia Sanborn; Francisco Acosta; Frédéric Poitevin; Nina Miolane (CoRR, 2023)

Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning. - Jay Shenoy; Axel Levy; Frédéric Poitevin; Gordon Wetzstein (CoRR, 2023)

AlignOT: An Optimal Transport Based Algorithm for Fast 3D Alignment With Applications to Cryogenic Electron Microscopy Density Maps. - Aryan Tajmir Riahi; Geoffrey Woollard; Frédéric Poitevin; Anne Condon; Khanh Dao Duc (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Matrix Sketching for Online Analysis of LCLS Imaging Datasets. - John Winnicki; Frédéric Poitevin; Haoyuan Li; Eric Darve (SC Workshops, 2024)

Solving Inverse Problems in Protein Space Using Diffusion-Based Priors. - Axel Levy; Eric R. Chan; Sara Fridovich-Keil; Frédéric Poitevin; Ellen D. Zhong; Gordon Wetzstein (CoRR, 2024)

A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE. - Aashwin Mishra; Matt Seaberg; Ryan Roussel; Frédéric Poitevin; Jana Thayer; Daniel Ratner; Auralee Edelen; Apurva Mehta (CoRR, 2025)