Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Ghosal, Sambuddha"'
Deep learning models (DLMs) can achieve state of the art performance in medical image segmentation and classification tasks. However, DLMs that do not provide feedback for their predictions such as Dice coefficients (Dice) have limited deployment pot
Externí odkaz:
http://arxiv.org/abs/2109.00115
Autor:
Riera, Luis G, Carroll, Matthew E., Zhang, Zhisheng, Shook, Johnathon M., Ghosal, Sambuddha, Gao, Tianshuang, Singh, Arti, Bhattacharya, Sourabh, Ganapathysubramanian, Baskar, Singh, Asheesh K., Sarkar, Soumik
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop a machine learning (ML) approach adept at soybean [\textit{Glycine ma
Externí odkaz:
http://arxiv.org/abs/2011.07118
Autor:
Ghosal, Sambuddha, Shah, Pratik
Publikováno v:
Published in Cell Reports Methods 1, 100107, 2021. "A deep-learning toolkit for visualization and interpretation of segmented medical images"
Deep learning (DL) models for disease classification or segmentation from medical images are increasingly trained using transfer learning (TL) from unrelated natural world images. However, shortcomings and utility of TL for specialized tasks in the m
Externí odkaz:
http://arxiv.org/abs/2011.05791
Autor:
Just, John, Ghosal, Sambuddha
Advances in deep generative and density models have shown impressive capacity to model complex probability density functions in lower-dimensional space. Also, applying such models to high-dimensional image data to model the PDF has shown poor general
Externí odkaz:
http://arxiv.org/abs/1911.04699
Autor:
Shah, Viraj, Joshi, Ameya, Ghosal, Sambuddha, Pokuri, Balaji, Sarkar, Soumik, Ganapathysubramanian, Baskar, Hegde, Chinmay
Reliable training of generative adversarial networks (GANs) typically require massive datasets in order to model complicated distributions. However, in several applications, training samples obey invariances that are \textit{a priori} known; for exam
Externí odkaz:
http://arxiv.org/abs/1906.01626
Publikováno v:
Electrophoresis, 2020
Diffusion of colored dye on water saturated paper substrates has been traditionally exploited with great skill by renowned water color artists. The same physics finds more recent practical applications in paper based diagnostic devices deploying chem
Externí odkaz:
http://arxiv.org/abs/1905.03347
Autor:
Pokuri, Balaji Sesha Sarath, Ghosal, Sambuddha, Kokate, Apurva, Ganapathysubramanian, Baskar, Sarkar, Soumik
Publikováno v:
npj Comput Mater 5, 95 (2019)
The performance of an organic photovoltaic device is intricately connected to its active layer morphology. This connection between the active layer and device performance is very expensive to evaluate, either experimentally or computationally. Hence,
Externí odkaz:
http://arxiv.org/abs/1811.06067
Autor:
Ghosal, Sambuddha, Blystone, David, Singh, Asheesh K., Ganapathysubramanian, Baskar, Singh, Arti, Sarkar, Soumik
Availability of an explainable deep learning model that can be applied to practical real world scenarios and in turn, can consistently, rapidly and accurately identify specific and minute traits in applicable fields of biological sciences, is scarce.
Externí odkaz:
http://arxiv.org/abs/1710.08619
Autor:
Ghosal, Sambuddha, Shah, Pratik
Publikováno v:
In Cell Reports Methods 22 November 2021 1(7)
Modern distributed cyber-physical systems (CPSs) encounter a large variety of physical faults and cyber anomalies and in many cases, they are vulnerable to catastrophic fault propagation scenarios due to strong connectivity among the sub-systems. Thi
Externí odkaz:
http://arxiv.org/abs/1512.07876