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2020 – today
- 2024
[j10]Karuna P. Sahoo
, Sawon Pratiher, Sazedul Alam, Nirmalya Ghosh, Nilanjan Banerjee, Amit Patra:
Unanticipated evolution of cardio-respiratory interactions with cognitive load during a Go-NoGo shooting task in virtual reality. Comput. Biol. Medicine 182: 109109 (2024)- 2023
- [j9]B. S. Rajeshwari, Madhurima Patra, Aman Sinha, Arnab Sengupta, Nirmalya Ghosh:
Detection of Phonocardiogram Event Patterns in Mitral Valve Prolapse: An Automated Clinically Relevant Explainable Diagnostic Framework. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [c33]Rajeshwari BS, Aman Sinha, Arnab Sengupta, Dhaladhuli Jahnavi, Nirmalya Ghosh, Amit Patra:
Detection of Twin Pregnancies using Fetal Phonocardiogram. EMBC 2023: 1-4 - [c32]Dhaladhuli Jahnavi, Ashutosh Dash, Rajeshwari BS, Nirmalya Ghosh, Amit Patra, K. M. Mandana, Sundeep Khandelwal:
Non-invasive Coronary Artery Disease Screening Based on Electrocardiogram Characteristics and Clinical Risk Factors. EMBC 2023: 1-4 - [c31]Dhaladhuli Jahnavi, Ashutosh Dash, Nirmalya Ghosh, Amit Patra:
Automated Myocardial Infarction Screening Using Morphology-Based Electrocardiogram Biomarkers. EMBC 2023: 1-4 - [c30]Pravallika Lavanuru, Sawon Pratiher, Karuna P. Sahoo, Mrinal Acharya, Sreejith S, Nirmalya Ghosh, Amit Patra:
Parasympathetic-Sympathetic Causal Interactions and Perceived Workload for Varying Difficulty Affective Computing Tasks. ICASSP 2023: 1-5 - 2022
- [j8]Ashutosh Dash, Karan Jain, Nirmalya Ghosh, Amit Patra:
Non-invasive detection of coronary artery disease from photoplethysmograph using lumped parameter modelling. Biomed. Signal Process. Control. 77: 103781 (2022) - [c29]Sawon Pratiher, Apoorva Srivastava, Sazedul Alam, Karuna P. Sahoo, Nilanjan Banerjee, Nirmalya Ghosh, Amit Patra:
Multi-granular Analysis and Physiological Interpretations of Heart Rate Variability Metrics During VR-Shooting Difficulty Induced Stress. EMBC 2022: 1094-1097 - [c28]B. S. Rajeshwari, Aman Sinha, Arnab Sengupta, Madhurima Patra, Karuna P. Sahoo, Nirmalya Ghosh:
Synchrosqueezed Transform based Click Event Segmentation in Phonocardiogram of Mitral Valve Prolapse. EMBC 2022: 1997-2000 - [c27]Akash Kirodiwal, Dhaladhuli Jahnavi, Ashutosh Dash, Nirmalya Ghosh, Amit Patra:
Normal and Abnormal Classification of Electrocardiogram: A Primary Screening Tool Kit. EMBC 2022: 2001-2004 - [c26]Akshat Agrawal, Ashutosh Dash, Nirmalya Ghosh, Amit Patra:
Morphological Event Based Signal Quality Assessment of Electrocardiogram. EMBC 2022: 2021-2024 - [c25]Karuna P. Sahoo, Ashutosh Dash, Nirmalya Ghosh, Amit Patra, Aniruddha Sinha, Sundeep Khandelwal:
Simulating Stenotic Conditions of the Coronary Artery in a Lumped Parameter Model of the Cardiovascular System. EMBC 2022: 3993-3996 - [c24]Sawon Pratiher, Apoorva Srivastava, Yedla Bindu Priyatha, Nirmalya Ghosh, Amit Patra:
A Dilated Residual Vision Transformer for Atrial Fibrillation Detection from Stacked Time-Frequency ECG Representations. ICASSP 2022: 1121-1125 - 2021
- [j7]Anusha Vupputuri, Akshat Gupta, Nirmalya Ghosh:
MCA-DN: Multi-path convolution leveraged attention deep network for salvageable tissue detection in ischemic stroke from multi-parametric MRI. Comput. Biol. Medicine 136: 104724 (2021) - [c23]Apoorva Srivastava, Ajith Hari, Sawon Pratiher, Sazedul Alam, Nirmalya Ghosh, Nilanjan Banerjee, Amit Patra:
Channel Self-Attention Deep Learning Framework for Multi-Cardiac Abnormality Diagnosis from Varied-Lead ECG Signals. CinC 2021: 1-4 - [c22]Madhurima Patra, B. S. Rajeshwari, Arnab Sengupta, Amit Patra, Nirmalya Ghosh:
Wavelet based event detection in the phonocardiogram of prolapsed mitral valve. EMBC 2021: 841-844 - [c21]Karuna P. Sahoo, Amit Patra, Nirmalya Ghosh, Arpan Pal, Aniruddha Sinha, Sundeep Khandelwal:
A Lumped Parameter Model for Cardiac Output Estimation Using Arterial Blood Pressure Waveform. EMBC 2021: 5523-5526 - [c20]Karuna P. Sahoo, Ananth Radhakrishnan, Sawon Pratiher, Sazedul Alam, Scott E. Kerick, Nirmalya Ghosh, David Chhan, Nilanjan Banerjee, Amit Patra:
Alterations in Multi-channel EEG Dynamics During a Stressful Shooting Task in Virtual Reality Systems. EMBC 2021: 6207-6210 - 2020
- [j6]Anusha Vupputuri, Stephen Ashwal, Bryan Tsao, Nirmalya Ghosh:
Ischemic stroke segmentation in multi-sequence MRI by symmetry determined superpixel based hierarchical clustering. Comput. Biol. Medicine 116: 103536 (2020) - [c19]Akash Kirodiwal, Apoorva Srivastava, Ashutosh Dash, Ayantika Saha, Gopi Vamsi Penaganti, Sawon Pratiher, Sazedul Alam, Amit Patra, Nirmalya Ghosh, Nilanjan Banerjee:
A Bio-toolkit for Multi-Cardiac Abnormality Diagnosis Using ECG Signal and Deep Learning. CinC 2020: 1-4 - [c18]Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. EMBC 2020: 1128-1131 - [c17]Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. EMBC 2020: 1225-1228 - [c16]Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. EMBC 2020: 1234-1237 - [c15]Ashutosh Dash, Nirmalya Ghosh, Amit Patra, Anirban Dutta Choudhury:
Estimation of Arterial Blood Pressure Waveform from Photoplethysmogram Signal using Linear Transfer Function Approach. EMBC 2020: 2691-2694 - [i9]Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. CoRR abs/2004.11693 (2020) - [i8]Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. CoRR abs/2004.11721 (2020) - [i7]Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. CoRR abs/2004.11726 (2020)
2010 – 2019
- 2019
- [j5]Manas K. Nag, Saunak Chatterjee, Anup K. Sadhu, Jyotirmoy Chatterjee, Nirmalya Ghosh:
Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model. Int. J. Comput. Assist. Radiol. Surg. 14(2): 259-269 (2019) - [c14]Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet:
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging. EMBC 2019: 1010-1013 - [c13]Ashutosh Dash, Karan Jain, Nirmalya Ghosh, Amit Patra, Anirban Dutta Choudhury:
Blood Pressure Estimation Based on Pulse Arrival Time and Heart Rate : A Correlation Analysis for Critically Ill Patients. EMBC 2019: 5046-5050 - [c12]Akshat Gupta, Anusha Vupputuri, Nirmalya Ghosh:
Delineation of Ischemic Core and Penumbra Volumes from MRI using MSNet Architecture. EMBC 2019: 6730-6733 - [i6]Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet:
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging. CoRR abs/1908.01176 (2019) - 2018
- [c11]Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. CVPR Workshops 2018: 2591-2594 - [c10]Susheelkumar Dighade, P. S. Prasanth, Nirmalya Ghosh:
Symmetry determined superpixels for efficient lesion segmentation of ischemic stroke from MRI. EMBC 2018: 742-745 - [i5]Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. CoRR abs/1805.06909 (2018) - 2017
- [c9]Anusha Vupputuri, Stephen Ashwal, Bryan Tsao, Elia Haddad, Nirmalya Ghosh:
MRI based objective ischemic core-penumbra quantification in adult clinical stroke. EMBC 2017: 3012-3015 - 2015
- [c8]Sabyasachi Mukhopadhyay, Nirmalya Ghosh, Ritwik Burman, Prasanta K. Panigrahi, Sawon Pratiher, M. Venkatesh, Soham Mandal, Satyasaran Changdar:
An optimized hyper kurtosis based modified duo-histogram equalization (HKMDHE) method for contrast enhancement purpose of low contrast human brain CT scan images. ICACCI 2015: 1819-1821 - [i4]Sabyasachi Mukhopadhyay, Soham Mandal, Nandan K. Das, Subhadip Dey, Asish Mitra, Nirmalya Ghosh, Prasanta K. Panigrahi:
Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA domain. CoRR abs/1503.03913 (2015) - [i3]Sabyasachi Mukhopadhyay, Nandan K. Das, Soham Mandal, Sawon Pratiher, Asish Mitra, Asima Pradhan, Nirmalya Ghosh, Prasanta K. Panigrahi:
Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection. CoRR abs/1503.06323 (2015) - [i2]Sabyasachi Mukhopadhyay, Soham Mandal, Sawon Pratiher, Ritwik Barman, M. Venkatesh, Nirmalya Ghosh, Prasanta K. Panigrahi:
Application of S-Transform on Hyper kurtosis based Modified Duo Histogram Equalized DIC images for Pre-cancer Detection. CoRR abs/1505.00192 (2015) - [i1]Sabyasachi Mukhopadhyay, Soham Mandal, Sawon Pratiher, Satyasaran Changdar, Ritwik Burman, Nirmalya Ghosh, Prasanta K. Panigrahi:
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 abs/1505.06219 (2015) - 2014
- [j4]Nirmalya Ghosh, Yu Sun, Bir Bhanu, Stephen Ashwal, Andre Obenaus:
Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images. Medical Image Anal. 18(7): 1059-1069 (2014) - [j3]Nirmalya Ghosh, Bir Bhanu:
Evolving Bayesian Graph for Three-Dimensional Vehicle Model Building From Video. IEEE Trans. Intell. Transp. Syst. 15(2): 563-578 (2014) - 2011
- [c7]Jalpa Soni, Gregor P. Jose, Sayantan Ghosh, Asima Pradhan, Tapas K. Sengupta, Prasanta K. Panigrahi, Nirmalya Ghosh:
Probing tissue multifractality using wavelet based multifractal detrended fluctuation analysis: Applications in precancer detection. BMEI 2011: 448-452 - 2010
- [j2]Nirmalya Ghosh, Bir Bhanu:
Incremental Unsupervised Three-Dimensional Vehicle Model Learning From Video. IEEE Trans. Intell. Transp. Syst. 11(2): 423-440 (2010)
2000 – 2009
- 2009
- [c6]Nirmalya Ghosh, Bir Bhanu, Giovanni Denina:
Continuously evolvable Bayesian Nets for human action analysis in videos. ICDSC 2009: 1-8 - 2008
- [c5]Nirmalya Ghosh, Bir Bhanu:
Bayesian based 3D shape reconstruction from video. ICIP 2008: 1152-1155 - [c4]Nirmalya Ghosh, Bir Bhanu:
How current BNs fail to represent evolvable pattern recognition problems and a proposed solution. ICPR 2008: 1-4 - 2007
- [c3]Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Merrill Knapp, Carolyn L. Talcott, Keith Laderoute, Joe W. Gray, Paul T. Spellman:
Spectral Decomposition of Signaling Networks. CIBCB 2007: 76-81 - 2006
- [c2]Nirmalya Ghosh, Bir Bhanu:
Incremental Vehicle 3-D Modeling from Video. ICPR (3) 2006: 272-275 - [c1]Nirmalya Ghosh, Bir Bhanu:
A Psychological Adaptive Model For Video Analysis. ICPR (4) 2006: 346-349 - 2004
- [j1]Seng Kee Tan, Yu Ge, Kean Soon Tan, Chee-Wei Ang, Nirmalya Ghosh:
Dynamically Loadable Protocol Stacks: A Message Parser--Generator Implementation. IEEE Internet Comput. 8(2): 19-25 (2004)
Coauthor Index
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