Dr. Romel Bhattacharjee

Indian Institute of Technology, BHU

H-index: 5

Asia-India

About Dr. Romel Bhattacharjee

Dr. Romel Bhattacharjee, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Indian Institute of Technology, BHU, specializes in the field of Medical Image Processing, Artificial Intelligence, Image Registration, Deep Learning, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cascaded model (conventional+ deep learning) for weakly supervised segmentation of left ventricle in cardiac magnetic resonance images

Non-rigid registration (computed tomography-ultrasound) of liver using B-splines and free form deformation

Evaluation of a learning-based deformable registration method on abdominal CT images

Evaluation of deep learning methods (DnCNN and U-Net) for denoising of heart auscultation signals

Deformable registration of abdominal images

Dr. Romel Bhattacharjee Information

University	Indian Institute of Technology, BHU
Position	___
Citations(all)	126
Citations(since 2020)	106
Cited By	53
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	4
i10Index(since 2020)	4
Email	Access Email
University Profile Page	Indian Institute of Technology, BHU
Google Scholar	View Google Scholar Profile

Dr. Romel Bhattacharjee Skills & Research Interests

Medical Image Processing

Artificial Intelligence

Image Registration

Deep Learning

Machine Learning

Top articles of Dr. Romel Bhattacharjee

Title	Journal	Author(s)	Publication Date
Cascaded model (conventional+ deep learning) for weakly supervised segmentation of left ventricle in cardiac magnetic resonance images		Taresh Sarvesh Sharan Romel Bhattacharjee Alok Tiwari Shiru Sharma Neeraj Sharma	2023/1/2
Non-rigid registration (computed tomography-ultrasound) of liver using B-splines and free form deformation	International Journal of Biomedical Engineering and Technology	Romel Bhattacharjee Ashish Verma Neeraj Sharma Shiru Sharma	2022
Evaluation of a learning-based deformable registration method on abdominal CT images	IRBM	Romel Bhattacharjee Fabrice Heitz Vincent Noblet Shiru Sharma Neeraj Sharma	2021/4/1
Evaluation of deep learning methods (DnCNN and U-Net) for denoising of heart auscultation signals		Taresh Sarvesh Sharan Romel Bhattacharjee Shiru Sharma Neeraj Sharma	2020/4/3
Deformable registration of abdominal images		Romel Bhattacharjee	2020