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Differentiable Microscopy for Content and Task Aware Compressive
  Fluorescence Imaging

Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging

28 March 2022
Udith Haputhanthri
A. Seeber
D. Wadduwage
    MedIm
ArXivPDFHTML

Papers citing "Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging"

16 / 16 papers shown
Title
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Christos Sakaridis
Jie Cao
Guolei Sun
Peng Sun
Luc Van Gool
Radu Timofte
ViT
175
2,893
0
23 Aug 2021
Multi-element microscope optimization by a learned sensing network with
  composite physical layers
Multi-element microscope optimization by a learned sensing network with composite physical layers
Kanghyun Kim
P. C. Konda
Colin L. Cooke
Ron Appel
R. Horstmeyer
18
13
0
27 Jun 2020
Physics-enhanced machine learning for virtual fluorescence microscopy
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
Learning a Probabilistic Strategy for Computational Imaging Sensor
  Selection
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection
He Sun
Adrian Dalca
Katherine Bouman
47
15
0
23 Mar 2020
Microscopy Image Restoration with Deep Wiener-Kolmogorov filters
Microscopy Image Restoration with Deep Wiener-Kolmogorov filters
V. Pronina
Filippos Kokkinos
Dmitry V. Dylov
Stamatios Lefkimmiatis
35
26
0
25 Nov 2019
Towards an Intelligent Microscope: adaptively learned illumination for
  optimal sample classification
Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification
A. Chaware
Colin L. Cooke
Kanghyun Kim
R. Horstmeyer
39
11
0
22 Oct 2019
Data-Driven Design for Fourier Ptychographic Microscopy
Data-Driven Design for Fourier Ptychographic Microscopy
Michael R. Kellman
E. Bostan
Michael Chen
Laura Waller
36
62
0
08 Apr 2019
Activation Functions: Comparison of trends in Practice and Research for
  Deep Learning
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
S. Bodenstedt
Dominik Rivoir
A. Gachagan
S. T. Mees
88
1,276
0
08 Nov 2018
Physics-based Learned Design: Optimized Coded-Illumination for
  Quantitative Phase Imaging
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
Convolutional neural networks that teach microscopes how to image
Convolutional neural networks that teach microscopes how to image
R. Horstmeyer
Richard Y. Chen
Barbara Kappes
B. Judkewitz
98
59
0
21 Sep 2017
Dirty Pixels: Towards End-to-End Image Processing and Perception
Dirty Pixels: Towards End-to-End Image Processing and Perception
Steven Diamond
Vincent Sitzmann
Frank D. Julca-Aguilar
Stephen P. Boyd
Gordon Wetzstein
Felix Heide
104
54
0
23 Jan 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
308
19,612
0
21 Nov 2016
Learning Sensor Multiplexing Design through Back-propagation
Learning Sensor Multiplexing Design through Back-propagation
Ayan Chakrabarti
SSL
58
126
0
23 May 2016
Sketch-based Manga Retrieval using Manga109 Dataset
Sketch-based Manga Retrieval using Manga109 Dataset
Yusuke Matsui
Kota Ito
Yuji Aramaki
T. Yamasaki
Kiyoharu Aizawa
43
1,166
0
15 Oct 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,842
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
408
16,947
0
20 Dec 2013
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