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ORCIDGilbert Bigras
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2020 – today
- 2023
[c5]Namitha Guruprasad, Penny J. Barnes, Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray:
A Closer Look at Weak Supervision's Limitations in WSI Recurrence Score Prediction. BIBM 2023: 1941-1946- [c4]Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray:
GPEX, A Framework For Interpreting Artificial Neural Networks. NeurIPS 2023 - [i3]Amir Akbarnejad, Nilanjan Ray, Penny J. Barnes, Gilbert Bigras:
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images. CoRR abs/2308.01982 (2023) - 2021
- [c3]Amir Akbarnejad, Nilanjan Ray, Gilbert Bigras:
Deep Fisher Vector Coding For Whole Slide Image Classification. ISBI 2021: 243-246 - [i2]Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray:
GPEX, A Framework For Interpreting Artificial Neural Networks. CoRR abs/2112.09820 (2021)
2010 – 2019
- 2019
- [j1]Yao Xue
, Gilbert Bigras, Judith Hugh, Nilanjan Ray:
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection. IEEE Trans. Medical Imaging 38(11): 2632-2641 (2019) - 2018
- [i1]Yao Xue, Gilbert Bigras, Judith Hugh, Nilanjan Ray:
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection. CoRR abs/1810.03075 (2018) - 2017
- [c2]Yao Xue, Nilanjan Ray, Judith Hugh, Gilbert Bigras:
A novel framework to integrate convolutional neural network with compressed sensing for cell detection. ICIP 2017: 2319-2323 - 2016
- [c1]Yao Xue, Nilanjan Ray, Judith Hugh, Gilbert Bigras:
Cell Counting by Regression Using Convolutional Neural Network. ECCV Workshops (1) 2016: 274-290
Coauthor Index
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