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Barathi Subramanian

Showing results (1-10 of 5) with videos related to

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Scientific Reports|March 3, 2023
Consecutive multiscale feature learning-based image classification modelBekhzod Olimov, Barathi Subramanian, Rakhmonov Akhrorjon Akhmadjon Ugli, et al.
Scientific Reports|July 13, 2022
An integrated mediapipe-optimized GRU model for Indian sign language recognitionBarathi Subramanian, Bekhzod Olimov, Shraddha M Naik, et al.
Advances in Neural Information Processing Systems|May 6, 2026
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC HistopathologyBarathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, et al.
Arxiv|April 9, 2026
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC HistopathologyBarathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 3, 2026
A deep learning-based automated pipeline for colorectal cancer detection in contrast-enhanced CT imagesChenhui Qiu, Sarah Miller, Barathi Subramanian, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|March 3, 2023
Consecutive multiscale feature learning-based image classification modelBekhzod Olimov, Barathi Subramanian, Rakhmonov Akhrorjon Akhmadjon Ugli, et al.
Scientific Reports|July 13, 2022
An integrated mediapipe-optimized GRU model for Indian sign language recognitionBarathi Subramanian, Bekhzod Olimov, Shraddha M Naik, et al.
Advances in Neural Information Processing Systems|May 6, 2026
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC HistopathologyBarathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, et al.
Arxiv|April 9, 2026
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC HistopathologyBarathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 3, 2026
A deep learning-based automated pipeline for colorectal cancer detection in contrast-enhanced CT imagesChenhui Qiu, Sarah Miller, Barathi Subramanian, et al.
Pageof 1