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Pinaki Sarder

Department of Pathology & Anatomical Sciences, University at Buffalo, the State University of New York, Buffalo, New York, Department of Biostatistics, University at Buffalo, the State University of New York, Buffalo, New York, Department of Biomedical Engineering, University at Buffalo, the State University of New York, Buffalo, New York

Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training


Mar 01, 2021
Brendon Lutnick, Leema Krishna Murali, Brandon Ginley, Avi Z. Rosenberg, Pinaki Sarder

* 5 pages, 2 figures 

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A tool for user friendly, cloud based, whole slide image segmentation


Jan 18, 2021
Brendon Lutnick, David Manthey, Pinaki Sarder

* 7 pages, 4 figures, and 26 references. We are currently preparing it for submission in a peer reviewed journal 

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Neural Network Segmentation of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis in Renal Biopsies


Feb 28, 2020
Brandon Ginley, Kuang-Yu Jen, Avi Rosenberg, Felicia Yen, Sanjay Jain, Agnes Fogo, Pinaki Sarder


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Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology


Feb 05, 2020
Brendon Lutnick, Wen Dong, Zohar Nussinov, Pinaki Sarder

* 46 pages, 19 Figures 

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Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis


Dec 18, 2018
Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John E. Tomaszewski, Kuang-Yu Jen, Pinaki Sarder

* 15 pages, 7 figures, 2 supplemental figures (on the last page) 

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Automatic Segmentation of Fluorescence Lifetime Microscopy Images of Cells Using Multi-Resolution Community Detection


May 08, 2013
Dandan Hu, Pinaki Sarder, Peter Ronhovde, Sandra Orthaus, Samuel Achilefu, Zohar Nussinov

* Journal of Microscopy Volume 253, Issue 1, pages 54 - 64, 2014 
* 21 pages, 6 figures 

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