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ORCIDColin L. V. Cooke
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2020 – today
- 2022
[j2]Bradley Feiger, Erick Lorenzana-Saldivar, Colin L. V. Cooke, Roarke Horstmeyer
, Muath Bishawi, Julie Doberne, G. Chad Hughes, David Ranney, Soraya Voigt, Amanda Randles:
Evaluation of U-Net Based Architectures for Automatic Aortic Dissection Segmentation. ACM Trans. Comput. Heal. 3(1): 11:1-11:16 (2022)- 2021
- [c3]Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu:
Mesoscopic Photogrammetry With an Unstabilized Phone Camera. CVPR 2021: 7535-7545 - [c2]Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer:
Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. ICCV 2021: 3783-3793 - [i5]Xing Yao, Vinayak Pathak, Haoran Xi, Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Shiqi Xu, Yuting Li, Timothy Dunn, Pavan Chandra Konda, Kevin C. Zhou, Roarke Horstmeyer:
Increasing a microscope's effective field of view via overlapped imaging and machine learning. CoRR abs/2110.04921 (2021) - 2020
- [c1]Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer:
Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification. ICASSP 2020: 9284-9288 - [i4]Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer:
Physics-enhanced machine learning for virtual fluorescence microscopy. CoRR abs/2004.04306 (2020) - [i3]Kanghyun Kim, Pavan Chandra Konda, Colin L. V. Cooke, Ron Appel, Roarke Horstmeyer:
Multi-element microscope optimization by a learned sensing network with composite physical layers. CoRR abs/2006.15404 (2020) - [i2]Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu:
Mesoscopic photogrammetry with an unstabilized phone camera. CoRR abs/2012.06044 (2020)
2010 – 2019
- 2019
- [j1]Colin L. V. Cooke, Katharine Andrea Scott:
Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data. IEEE Trans. Geosci. Remote. Sens. 57(7): 4735-4747 (2019) - [i1]Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer:
Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification. CoRR abs/1910.10209 (2019)
Coauthor Index
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