Convolutional neural networks that teach microscopes how to image

21 September 2017

Papers citing "Convolutional neural networks that teach microscopes how to image"

7 / 7 papers shown

Title
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging Tzofi Klinghoffer S. Somasundaram Kushagra Tiwary Ramesh Raskar 21 8 0 21 Apr 2022
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 518 0 12 May 2020
Physics-enhanced machine learning for virtual fluorescence microscopy Colin L. Cooke Fanjie Kong A. Chaware Kevin C Zhou Kanghyun Kim Rong Xu D. Ando Samuel J. Yang P. C. Konda R. Horstmeyer AI4CE 19 17 0 09 Apr 2020
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging Michael R. Kellman E. Bostan N. Repina Laura Waller 9 125 0 10 Aug 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 280 10,613 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016