Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification

22 October 2019

Papers citing "Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification"

8 / 8 papers shown

Title
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 117 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 89 125 0 10 Aug 2018
Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning Huan Yang Baoyuan Wang Noranart Vesdapunt Minyi Guo S. B. Kang 41 22 0 06 Mar 2018
Convolutional neural networks that teach microscopes how to image R. Horstmeyer Richard Y. Chen Barbara Kappes B. Judkewitz 98 59 0 21 Sep 2017
Learning Sensor Multiplexing Design through Back-propagation Ayan Chakrabarti SSL 58 126 0 23 May 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 308 13,214 0 09 Sep 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 322 10,050 0 10 Feb 2015
Recurrent Models of Visual Attention Volodymyr Mnih N. Heess Alex Graves Koray Kavukcuoglu VLM 140 3,651 0 24 Jun 2014