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Arnab Kumar Mondal

xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography
2021 · Arnab Kumar Mondal, Arnab Bhattacharjee, et al. · IEEE Journal of Translational Engineering in Health and Medicine · 135
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Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
2018 · Mondal, Arnab Kumar, Dolz, Jose, et al. · arXiv (Cornell University) · 120
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Deep Latent Space Clustering for Detection of Stealthy False Data Injection Attacks Against AC State Estimation in Power Systems
2022 · Arnab Bhattacharjee, Arnab Kumar Mondal, et al. · IEEE Transactions on Smart Grid · 43
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Retinal Vessel Segmentation Under Extreme Low Annotation: A Gan Based Semi-Supervised Approach
2020 · Avisek Lahiri, Vineet Jain, et al. · Proceedings - International Conference on Image Processing · 35
Revisiting CycleGAN for semi-supervised segmentation
2019 · Mondal, Arnab Kumar, Agarwal, Aniket, et al. · arXiv (Cornell University) · 29
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Self-Supervised Representation Learning-Based OSA Detection Method Using Single-Channel ECG Signals
2023 · Chandra Bhushan Kumar, Arnab Kumar Mondal, et al. · IEEE Transactions on Instrumentation and Measurement · 19
ImAiR: Airwriting Recognition Framework Using Image Representation of IMU Signals
2022 · Ayush Tripathi, Arnab Kumar Mondal, et al. · IEEE Sensors Letters · 17
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SCLAiR: Supervised Contrastive Learning for User and Device Independent Airwriting Recognition
2021 · Ayush Tripathi, Arnab Kumar Mondal, et al. · IEEE Sensors Letters · 17
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COVID-19 prognosis using limited chest X-ray images
2022 · Arnab Kumar Mondal · Applied Soft Computing · 15
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach
2018 · Lahiri, Avisek, Jain, Vineet, et al. · arXiv (Cornell University) · 14
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Chromosome Cluster Type Identification Using a Swin Transformer
2023 · Indu Joshi, Arnab Kumar Mondal, et al. · Applied Sciences · 12
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Mini-batch graphs for robust image classification
2021 · Mondal, Arnab Kumar, Jain, Vineet, et al. · arXiv (Cornell University) · 12
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HumMUSS: Human Motion Understanding Using State Space Models
2024 · Arnab Mondal, Stefano Alletto, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 11
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Group Equivariant Deep Reinforcement Learning
2020 · Mondal, Arnab Kumar, Nair, Pratheeksha, et al. · arXiv (Cornell University) · 11
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scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data
2021 · Arnab Kumar Mondal, Himanshu Asnani, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 10
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Equivariance with Learned Canonicalization Functions
2022 · Kaba, Sékou-Oumar, Mondal, Arnab Kumar, et al. · arXiv (Cornell University) · 9
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SSDMM-VAE: variational multi-modal disentangled representation learning
2022 · Arnab Kumar Mondal, Ajay Sailopal, et al. · Applied Intelligence · 8
Spectra: Surprising Effectiveness of Pretraining Ternary Language Models at Scale
2024 · Kaushal, Ayush, Vaidhya, Tejas, et al. · arXiv (Cornell University) · 7
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Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations
2022 · Arnab Kumar Mondal, Indu Joshi, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 7
Unravelling sleep patterns: Supervised contrastive learning with self-attention for sleep stage classification
2024 · Chandra Bhushan Kumar, Arnab Kumar Mondal, et al. · Applied Soft Computing · 6
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
2019 · Mondal, Arnab Kumar, Chowdhury, Sankalan Pal, et al. · arXiv (Cornell University) · 6
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Investigating Power laws in Deep Representation Learning
2022 · Ghosh, Arna, Mondal, Arnab Kumar, et al. · arXiv (Cornell University) · 5
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FlexAE: Flexibly Learning Latent Priors for Wasserstein Auto-Encoders
2021 · Arnab Kumar Mondal, Himanshu Asnani, et al. · 5
RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns
2020 · Arnab Mondal, Prathosh A.P. · IEEE Sensors Letters · 5
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An Improved Multi-Objective Algorithm Based on Decomposition with Fuzzy Dominance for Deployment of Wireless Sensor Networks
2011 · Soumyadip Sengupta, Md. Nasir, et al. · Lecture notes in computer science · 5
Works count: 36
Citation count: 572
H-index: 12
I10-index: 15
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