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2020 – today
- 2023
[c14]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
- [j3]Samiran Das
, Sawon Pratiher, Chirag Kyal, Pedram Ghamisi:
Sparsity Regularized Deep Subspace Clustering for Multicriterion-Based Hyperspectral Band Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4264-4278 (2022) - [c13]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 - [c12]Sawon Pratiher, Subhankar Chattoraj, Debaleena Nawn, Mousumi Pal, Ranjan Rashmi Paul, Hubert Konik, Jyotirmoy Chatterjee:
A Multi-Scale Context Aggregation Enriched MLP-Mixer Model for Oral Cancer Screening from Oral Sub-epithelial Connective Tissues. EUSIPCO 2022: 1323-1327 - [c11]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
- [j2]Debaleena Nawn, Sawon Pratiher, Subhankar Chattoraj, Debjani Chakraborty, Mousumi Pal, Ranjan Rashmi Paul, Srimonti Dutta, Jyotirmoy Chatterjee:
Multifractal Alterations in Oral Sub-Epithelial Connective Tissue During Progression of Pre-Cancer and Cancer. IEEE J. Biomed. Health Informatics 25(1): 152-162 (2021) - [c10]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 - [c9]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 - [c8]Subhankar Chattoraj, Sawon Pratiher, Souvik Pratiher, Hubert Konik:
Improving Stability of Adversarial Li-ion Cell Usage Data Generation using Generative Latent Space Modelling. ICASSP 2021: 8047-8051 - 2020
- [c7]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
2010 – 2019
- 2019
- [j1]Rohit Bose, Sawon Pratiher, Soumya Chatterjee:
Detection of epileptic seizure employing a novel set of features extracted from multifractal spectrum of electroencephalogram signals. IET Signal Process. 13(2): 157-164 (2019) - [c6]Sawon Pratiher, Subhankar Chattoraj:
Diving Deep onto Discriminative Ensemble of Histological Hashing & Class-Specific Manifold Learning for Multi-class Breast Carcinoma Taxonomy. ICASSP 2019: 1025-1029 - 2018
- [c5]Sawon Pratiher, Subhankar Chattoraj, Rajdeep Mukherjee:
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures. GlobalSIP 2018: 499-503 - [c4]Madhusudhan Mishra, Sawon Pratiher, Sanmitra Banerjee, Anirban Mukherjee:
Grading heart sounds through variational mode decomposition and higher order spectral features. I2MTC 2018: 1-5 - [c3]Sawon Pratiher, Subhankar Chattoraj, Sumit Agarwal, Shubhobrata Bhattacharya:
Grading Tumor Malignancy via Deep Bidirectional LSTM on Graph Manifold Encoded Histopathological Image. ICDM Workshops 2018: 674-681 - [i7]Sawon Pratiher, Subhankar Chattoraj:
Manifold Learning & Stacked Sparse Autoencoder for Robust Breast Cancer Classification from Histopathological Images. CoRR abs/1806.06876 (2018) - [i6]Sawon Pratiher, Subhankar Chattoraj, Rajdeep Mukherjee:
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures. CoRR abs/1811.04230 (2018) - 2017
- [i5]Sawon Pratiher, Soumya Chatterjee, Rohit Bose:
Automated Diagnosis of Epilepsy Employing Multifractal Detrended Fluctuation Analysis Based Features. CoRR abs/1704.01297 (2017) - [i4]Subhadip Dey, Sawon Pratiher, Saon Banerjee, Chanchal Kumar Mukherjee:
SolarisNet: A Deep Regression Network for Solar Radiation Prediction. CoRR abs/1711.08413 (2017) - 2016
- [c2]Saksham Agarwal, Vigneshram Krishnamoorthy, Sawon Pratiher:
ECG signal analysis using wavelet coherence and s-transform for classification of cardiovascular diseases. ICACCI 2016: 2765-2770 - 2015
- [c1]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 - [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)
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