Nirmalya Ghosh - Concepedia

Author

Nirmalya Ghosh

Indian Institute of Technology Kharagpur ORCID

Also Known As

Ghosh, N., Ghosh, Nirmalya, N Ghosh, N. Ghosh, Nirmalya Ghosh

Publications

Citations

H-Index

Concepts

All Affiliations

Indian Institute of Technology Kharagpur Loma Linda University University of California, Riverside Medical College and Hospital, Kolkata University of Maryland, Baltimore County

About

Nirmalya Ghosh is an author at Indian Institute of Technology Kharagpur specializing in medicine, engineering, and neuroscience.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	10	10	210
2	Engineering	9	9	568
3	Health Sciences	4	4	80
4	Natural Sciences	1	1	10
5	Public Health	1	1	20

Nirmalya Ghosh

Publications

838

Citations

H-Index

Page 1

	Year	Citations
Estimation of tool wear during CNC milling using neural network-based sensor fusion Nirmalya Ghosh, Yoganraj Ravi, Aditya Kumar Patra, Mechanical Systems and Signal Processing EngineeringMaterial MachiningTool WearMechanical EngineeringMachine Tool	2006	386
Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images Nirmalya Ghosh, Yu Sun, Bir Bhanu, Medical Image Analysis NeonatologyEngineeringMr ImagesBrain LesionImage Analysis	2014	40
Longitudinal Metabolite Changes after Traumatic Brain Injury: A Prospective Pediatric Magnetic Resonance Spectroscopic Imaging Study Barbara A. Holshouser, Jamie A. Pivonka-Jones, Joy G. Nichols, Journal of Neurotrauma	2018	39
Automated Core–Penumbra Quantification in Neonatal Ischemic Brain Injury Nirmalya Ghosh, Xiangpeng Yuan, Christine I. Turenius, Journal of Cerebral Blood Flow & Metabolism Traumatic Brain InjuryEngineeringMagnetic Resonance ImagingCore–penumbra QuantificationStroke	2012	37
Automated ischemic lesion detection in a neonatal model of hypoxic ischemic injury Nirmalya Ghosh, Rebecca Recker, Amul Shah, Journal of Magnetic Resonance Imaging	2011	35
Reparative effects of neural stem cells in neonatal rats with hypoxic–ischemic injury are not influenced by host sex Stephen Ashwal, Nirmalya Ghosh, Christine I. Turenius, Pediatric Research NeuroregenerationHost SexMedicinePhysiologyNeural Stem Cell	2014	32
Ischemic stroke segmentation in multi-sequence MRI by symmetry determined superpixel based hierarchical clustering Anusha Vupputuri, Stephen Ashwal, Bryan Tsao, Computers in Biology and Medicine EngineeringMulti-sequence MriIschemic StrokeMedical ImagingMedicine	2019	26
A deep residual inception network with channel attention modules for multi-label cardiac abnormality detection from reduced-lead ECG Apoorva Srivastava, Sawon Pratiher, Sazedul Alam, Physiological Measurement	2022	26
Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model Manas Kumar Nag, Saunak Chatterjee, Anup Sadhu, International Journal of Computer Assisted Radiology and Surgery Computed TomographyRadiation OncologyEngineeringMedical ImagingBiomedical Imaging	2018	25
Channel Self-Attention Deep Learning Framework for Multi-Cardiac Abnormality Diagnosis from Varied-Lead ECG Signals Apoorva Srivastava, Ajith Hari, Sawon Pratiher, 2021 Computing in Cardiology (CinC) Medical MonitoringEngineeringMachine LearningEcg Lead CombinationsDiagnosis	2021	20

Page 1