Data-Driven Design for Fourier Ptychographic Microscopy

Data-Driven Design for Fourier Ptychographic Microscopy

8 April 2019

Michael R. Kellman

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Papers citing "Data-Driven Design for Fourier Ptychographic Microscopy"

17 / 17 papers shown

Title
Latent Space Imaging Matheus Souza Yidan Zheng Kaizhang Kang Yogeshwar Nath Mishra Qiang Fu Wolfgang Heidrich 138 0 0 09 Jul 2024
LWGNet: Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval Atreyee Saha Salman S Khan Sagar Sehrawat Sanjana S. Prabhu S. Bhattacharya Kaushik Mitra 47 3 0 08 Aug 2022
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging Tzofi Klinghoffer S. Somasundaram Kushagra Tiwary Ramesh Raskar 113 8 0 21 Apr 2022
Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging Udith Haputhanthri A. Seeber D. Wadduwage MedIm 30 2 0 28 Mar 2022
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope Kithmini Herath Udith Haputhanthri Ramith Hettiarachchi Hasindu Kariyawasam Raja N. Ahmad Azeem Ahmad B. Ahluwalia Chamira U. S. Edussooriya D. Wadduwage 77 1 0 28 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 60 3 0 09 Mar 2022
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 87 20 0 13 May 2021
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems Edwin Vargas Julien N. P. Martel Gordon Wetzstein Henry Arguello 88 23 0 06 Apr 2021
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy E. Nehme Boris Ferdman Lucien E. Weiss Tal Naor Daniel Freedman T. Michaeli Y. Shechtman 86 5 0 29 Sep 2020
Towards learned optimal q-space sampling in diffusion MRI Tomer Weiss S. Vedula Ortal Senouf O. Michailovich A. Bronstein MedIm 36 3 0 07 Sep 2020
Solving Phase Retrieval with a Learned Reference Rakib Hyder Zikui Cai M. Salman Asif 58 24 0 29 Jul 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 128 537 0 12 May 2020
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection He Sun Adrian Dalca Katherine Bouman 64 15 0 23 Mar 2020
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 96 58 0 11 Dec 2019
PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy Yongbing Zhang Yangzhe Liu Xiu Li Shaowei Jiang Krishna Dixit Xinfeng Zhang Xiangyang Ji 42 13 0 19 Sep 2019
Deep Optics for Single-shot High-dynamic-range Imaging Christopher A. Metzler H. Ikoma Yifan Peng Gordon Wetzstein 78 160 0 01 Aug 2019
Optical machine learning with incoherent light and a single-pixel detector Shuming Jiao Xiang Li Yang Gao T. Lei Zhenwei Xie Xiaocong Yuan 145 99 0 24 Apr 2019