Dynamically Loadable Protocol Stacks: A Message Parser–Generator Implementation. - Seng Kee Tan; Yu Ge 001; Kean Soon Tan; Chee-Wei Ang; Nirmalya Ghosh (IEEE Internet Comput., 2004)

Incremental Vehicle 3-D Modeling from Video. - Nirmalya Ghosh; Bir Bhanu (ICPR (3), 2006)

A Psychological Adaptive Model For Video Analysis. - Nirmalya Ghosh; Bir Bhanu (ICPR (4), 2006)

Spectral Decomposition of Signaling Networks. - Bahram Parvin; Nirmalya Ghosh; Laura Heiser; Merrill Knapp; Carolyn L. Talcott; Keith Laderoute; Joe W. Gray; Paul T. Spellman (CIBCB, 2007)

Bayesian based 3D shape reconstruction from video. - Nirmalya Ghosh; Bir Bhanu (ICIP, 2008)

How current BNs fail to represent evolvable pattern recognition problems and a proposed solution. - Nirmalya Ghosh; Bir Bhanu (ICPR, 2008)

Continuously evolvable Bayesian Nets for human action analysis in videos. - Nirmalya Ghosh; Bir Bhanu; Giovanni Denina (ICDSC, 2009)

Incremental Unsupervised Three-Dimensional Vehicle Model Learning From Video. - Nirmalya Ghosh; Bir Bhanu (IEEE Trans. Intell. Transp. Syst., 2010)

Probing tissue multifractality using wavelet based multifractal detrended fluctuation analysis: Applications in precancer detection. - Jalpa Soni; Gregor P. Jose; Sayantan Ghosh; Asima Pradhan; Tapas K. Sengupta; Prasanta K. Panigrahi; Nirmalya Ghosh (BMEI, 2011)

Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images. - Nirmalya Ghosh; Yu Sun 007; Bir Bhanu; Stephen Ashwal; Andre Obenaus (Medical Image Anal., 2014)

Evolving Bayesian Graph for Three-Dimensional Vehicle Model Building From Video. - Nirmalya Ghosh; Bir Bhanu (IEEE Trans. Intell. Transp. Syst., 2014)

An optimized hyper kurtosis based modified duo-histogram equalization (HKMDHE) method for contrast enhancement purpose of low contrast human brain CT scan images. - Sabyasachi Mukhopadhyay; Nirmalya Ghosh; Ritwik Burman; Prasanta K. Panigrahi; Sawon Pratiher; M. Venkatesh 002; Soham Mandal; Satyasaran Changdar (ICACCI, 2015)

Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection. - Sabyasachi Mukhopadhyay; Nandan K. Das; Soham Mandal; Sawon Pratiher; Asish Mitra; Asima Pradhan; Nirmalya Ghosh; Prasanta K. Panigrahi (CoRR, 2015)

Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA domain. - Sabyasachi Mukhopadhyay; Soham Mandal; Nandan K. Das; Subhadip Dey; Asish Mitra; Nirmalya Ghosh; Prasanta K. Panigrahi (CoRR, 2015)

Application of S-Transform on Hyper kurtosis based Modified Duo Histogram Equalized DIC images for Pre-cancer Detection. - Sabyasachi Mukhopadhyay; Soham Mandal; Sawon Pratiher; Ritwik Barman; M. Venkatesh 002; Nirmalya Ghosh; Prasanta K. Panigrahi (CoRR, 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. - Sabyasachi Mukhopadhyay; Soham Mandal; Sawon Pratiher; Satyasaran Changdar; Ritwik Burman; Nirmalya Ghosh; Prasanta K. Panigrahi (CoRR, 2015)

MRI based objective ischemic core-penumbra quantification in adult clinical stroke. - Anusha Vupputuri; Stephen Ashwal; Bryan Tsao; Elia Haddad; Nirmalya Ghosh (EMBC, 2017)

Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. - Aupendu Kar; Sri Phani Krishna Karri; Nirmalya Ghosh; Ramanathan Sethuraman; Debdoot Sheet (CVPR Workshops, 2018)

Symmetry determined superpixels for efficient lesion segmentation of ischemic stroke from MRI. - Susheelkumar Dighade; P. S. Prasanth; Nirmalya Ghosh (EMBC, 2018)

Blood Pressure Estimation Based on Pulse Arrival Time and Heart Rate : A Correlation Analysis for Critically Ill Patients. - Ashutosh Dash; Karan Jain; Nirmalya Ghosh; Amit Patra; Anirban Dutta Choudhury (EMBC, 2019)

Delineation of Ischemic Core and Penumbra Volumes from MRI using MSNet Architecture. - Akshat Gupta; Anusha Vupputuri; Nirmalya Ghosh (EMBC, 2019)

Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging. - Rachana Sathish; Ronnie Rajan; Anusha Vupputuri; Nirmalya Ghosh; Debdoot Sheet (EMBC, 2019)

Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model. - Manas K. Nag; Saunak Chatterjee; Anup K. Sadhu; Jyotirmoy Chatterjee; Nirmalya Ghosh (Int. J. Comput. Assist. Radiol. Surg., 2019)

A Bio-toolkit for Multi-Cardiac Abnormality Diagnosis Using ECG Signal and Deep Learning. - Akash Kirodiwal; Apoorva Srivastava; Ashutosh Dash; Ayantika Saha; Gopi Vamsi Penaganti; Sawon Pratiher; Sazedul Alam; Amit Patra; Nirmalya Ghosh; Nilanjan Banerjee (CinC, 2020)

Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. - Arunava Chakravarty; Tandra Sarkar; Nirmalya Ghosh; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

Estimation of Arterial Blood Pressure Waveform from Photoplethysmogram Signal using Linear Transfer Function Approach. - Ashutosh Dash; Nirmalya Ghosh; Amit Patra; Anirban Dutta Choudhury (EMBC, 2020)

A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. - Sarath Chandra K; Arunava Chakravarty; Nirmalya Ghosh; Tandra Sarkar; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. - Arka Mitra; Arunava Chakravarty; Nirmalya Ghosh; Tandra Sarkar; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

Ischemic stroke segmentation in multi-sequence MRI by symmetry determined superpixel based hierarchical clustering. - Anusha Vupputuri; Stephen Ashwal; Bryan Tsao; Nirmalya Ghosh (Comput. Biol. Medicine, 2020)

Channel Self-Attention Deep Learning Framework for Multi-Cardiac Abnormality Diagnosis from Varied-Lead ECG Signals. - Apoorva Srivastava; Ajith Hari; Sawon Pratiher; Sazedul Alam; Nirmalya Ghosh; Nilanjan Banerjee; Amit Patra (CinC, 2021)

Wavelet based event detection in the phonocardiogram of prolapsed mitral valve. - Madhurima Patra; B. S. Rajeshwari; Arnab Sengupta; Amit Patra; Nirmalya Ghosh (EMBC, 2021)

A Lumped Parameter Model for Cardiac Output Estimation Using Arterial Blood Pressure Waveform. - Karuna P. Sahoo; Amit Patra; Nirmalya Ghosh; Arpan Pal 001; Aniruddha Sinha; Sundeep Khandelwal (EMBC, 2021)

Alterations in Multi-channel EEG Dynamics During a Stressful Shooting Task in Virtual Reality Systems. - Karuna P. Sahoo; Ananth Radhakrishnan; Sawon Pratiher; Sazedul Alam; Scott E. Kerick; Nirmalya Ghosh; David Chhan; Nilanjan Banerjee; Amit Patra (EMBC, 2021)

MCA-DN: Multi-path convolution leveraged attention deep network for salvageable tissue detection in ischemic stroke from multi-parametric MRI. - Anusha Vupputuri; Akshat Gupta; Nirmalya Ghosh (Comput. Biol. Medicine, 2021)

Morphological Event Based Signal Quality Assessment of Electrocardiogram. - Akshat Agrawal; Ashutosh Dash; Nirmalya Ghosh; Amit Patra (EMBC, 2022)

Normal and Abnormal Classification of Electrocardiogram: A Primary Screening Tool Kit. - Akash Kirodiwal; Dhaladhuli Jahnavi; Ashutosh Dash; Nirmalya Ghosh; Amit Patra (EMBC, 2022)

Multi-granular Analysis and Physiological Interpretations of Heart Rate Variability Metrics During VR-Shooting Difficulty Induced Stress. - Sawon Pratiher; Apoorva Srivastava; Sazedul Alam; Karuna P. Sahoo; Nilanjan Banerjee; Nirmalya Ghosh; Amit Patra (EMBC, 2022)

Synchrosqueezed Transform based Click Event Segmentation in Phonocardiogram of Mitral Valve Prolapse. - B. S. Rajeshwari; Aman Sinha; Arnab Sengupta; Madhurima Patra; Karuna P. Sahoo; Nirmalya Ghosh (EMBC, 2022)

Simulating Stenotic Conditions of the Coronary Artery in a Lumped Parameter Model of the Cardiovascular System. - Karuna P. Sahoo; Ashutosh Dash; Nirmalya Ghosh; Amit Patra; Aniruddha Sinha; Sundeep Khandelwal (EMBC, 2022)

A Dilated Residual Vision Transformer for Atrial Fibrillation Detection from Stacked Time-Frequency ECG Representations. - Sawon Pratiher; Apoorva Srivastava; Yedla Bindu Priyatha; Nirmalya Ghosh; Amit Patra (ICASSP, 2022)

Non-invasive detection of coronary artery disease from photoplethysmograph using lumped parameter modelling. - Ashutosh Dash; Karan Jain; Nirmalya Ghosh; Amit Patra (Biomed. Signal Process. Control., 2022)

Detection of Twin Pregnancies using Fetal Phonocardiogram. - Rajeshwari BS; Aman Sinha; Arnab Sengupta; Dhaladhuli Jahnavi; Nirmalya Ghosh; Amit Patra (EMBC, 2023)

Non-invasive Coronary Artery Disease Screening Based on Electrocardiogram Characteristics and Clinical Risk Factors. - Dhaladhuli Jahnavi; Ashutosh Dash; Rajeshwari BS; Nirmalya Ghosh; Amit Patra; K. M. Mandana; Sundeep Khandelwal (EMBC, 2023)

Automated Myocardial Infarction Screening Using Morphology-Based Electrocardiogram Biomarkers. - Dhaladhuli Jahnavi; Ashutosh Dash; Nirmalya Ghosh; Amit Patra (EMBC, 2023)

Parasympathetic-Sympathetic Causal Interactions and Perceived Workload for Varying Difficulty Affective Computing Tasks. - Pravallika Lavanuru; Sawon Pratiher; Karuna P. Sahoo; Mrinal Acharya; Sreejith S; Nirmalya Ghosh; Amit Patra (ICASSP, 2023)

Detection of Phonocardiogram Event Patterns in Mitral Valve Prolapse: An Automated Clinically Relevant Explainable Diagnostic Framework. - B. S. Rajeshwari; Madhurima Patra; Aman Sinha; Arnab Sengupta; Nirmalya Ghosh (IEEE Trans. Instrum. Meas., 2023)

Interpretable Automated Arrhythmia Detection: An Assistive Framework for Clinicians. - Dhaladhuli Jahnavi; Ashutosh Dash; Mrinal Acharya; Nirmalya Ghosh; Amit Patra (EMBC, 2024)

Plasmon-Induced Concentric Hexagonal Ring Resonator for Nanophotonic Sensing. - Shyamal Guchhait; Subhasri Chatterjee; Tapas Chakravarty; Nirmalya Ghosh (IEEE SENSORS, 2024)

Unanticipated evolution of cardio-respiratory interactions with cognitive load during a Go-NoGo shooting task in virtual reality. - Karuna P. Sahoo; Sawon Pratiher; Sazedul Alam; Nirmalya Ghosh; Nilanjan Banerjee; Amit Patra (Comput. Biol. Medicine, 2024)

CabiNet: A Deep Learning Framework for Multiclass Medical Image Segmentation from Multiple Single Class Datasets. - Aman Soni; Ishita Maiti; Nirmalya Ghosh (ICASSP, 2025)