Nirmalya Ghosh
Orcid: 0000-0002-8580-2541
According to our database1,
Nirmalya Ghosh
authored at least 46 papers
between 2004 and 2023.
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Bibliography
2023
Detection of Phonocardiogram Event Patterns in Mitral Valve Prolapse: An Automated Clinically Relevant Explainable Diagnostic Framework.
IEEE Trans. Instrum. Meas., 2023
Parasympathetic-Sympathetic Causal Interactions and Perceived Workload for Varying Difficulty Affective Computing Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2023
Automated Myocardial Infarction Screening Using Morphology-Based Electrocardiogram Biomarkers.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Non-invasive Coronary Artery Disease Screening Based on Electrocardiogram Characteristics and Clinical Risk Factors.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Non-invasive detection of coronary artery disease from photoplethysmograph using lumped parameter modelling.
Biomed. Signal Process. Control., 2022
A Dilated Residual Vision Transformer for Atrial Fibrillation Detection from Stacked Time-Frequency ECG Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022
Simulating Stenotic Conditions of the Coronary Artery in a Lumped Parameter Model of the Cardiovascular System.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Synchrosqueezed Transform based Click Event Segmentation in Phonocardiogram of Mitral Valve Prolapse.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Multi-granular Analysis and Physiological Interpretations of Heart Rate Variability Metrics During VR-Shooting Difficulty Induced Stress.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Normal and Abnormal Classification of Electrocardiogram: A Primary Screening Tool Kit.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
MCA-DN: Multi-path convolution leveraged attention deep network for salvageable tissue detection in ischemic stroke from multi-parametric MRI.
Comput. Biol. Medicine, 2021
Alterations in Multi-channel EEG Dynamics During a Stressful Shooting Task in Virtual Reality Systems.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Lumped Parameter Model for Cardiac Output Estimation Using Arterial Blood Pressure Waveform.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Channel Self-Attention Deep Learning Framework for Multi-Cardiac Abnormality Diagnosis from Varied-Lead ECG Signals.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Ischemic stroke segmentation in multi-sequence MRI by symmetry determined superpixel based hierarchical clustering.
Comput. Biol. Medicine, 2020
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Estimation of Arterial Blood Pressure Waveform from Photoplethysmogram Signal using Linear Transfer Function Approach.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Bio-toolkit for Multi-Cardiac Abnormality Diagnosis Using ECG Signal and Deep Learning.
Proceedings of the Computing in Cardiology, 2020
2019
Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model.
Int. J. Comput. Assist. Radiol. Surg., 2019
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Blood Pressure Estimation Based on Pulse Arrival Time and Heart Rate : A Correlation Analysis for Critically Ill Patients.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Symmetry determined superpixels for efficient lesion segmentation of ischemic stroke from MRI.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2015
A comparative study between proposed Hyper Kurtosis based Modified Duo-Histogram Equalization (HKMDHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for Contrast Enhancement Purpose of Low Contrast Human Brain CT scan images.
CoRR, 2015
Application of S-Transform on Hyper kurtosis based Modified Duo Histogram Equalized DIC images for Pre-cancer Detection.
CoRR, 2015
Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA domain.
CoRR, 2015
Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection.
CoRR, 2015
An optimized hyper kurtosis based modified duo-histogram equalization (HKMDHE) method for contrast enhancement purpose of low contrast human brain CT scan images.
Proceedings of the 2015 International Conference on Advances in Computing, 2015
2014
IEEE Trans. Intell. Transp. Syst., 2014
Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images.
Medical Image Anal., 2014
2011
Probing tissue multifractality using wavelet based multifractal detrended fluctuation analysis: Applications in precancer detection.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011
2010
IEEE Trans. Intell. Transp. Syst., 2010
2009
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009
2008
How current BNs fail to represent evolvable pattern recognition problems and a proposed solution.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the International Conference on Image Processing, 2008
2007
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
2004
IEEE Internet Comput., 2004