Deepak Mishra - Patents & Publication

Patents

A. Kaur, D. Mishra, W. Kisku, "Adaptive Frame Resolution-Based Image System for Always-On Imaging Applications," Indian Patent Grant No. 566737.
D. Mishra, B. Chopra, A. Kaur, G. Singh, A. Elhence, "Automated Personalized Assistance and Monitoring System for People with Special Needs," Indian Patent Grant No. 562327.
G. Singh, D. Mishra, and R. Choudhary, “Interactive Medical Imaging Simulator with Dynamic Data Integration for Ultrasound Training,” Indian Patent application No. 202511040403.
G. Singh, D. Mishra, JK. Mohanta, R. Choudhary, P. Khera , R. Rajagopal, A.K. Sharma, “System for Multimodal Data Acquisition and Synchronization and Method Thereof,” Indian Patent application No. 202411058458.
G. Singh, D. Mishra, R. Choudhary, JK. Mohanta , P. Khera , R. Rajagopal, “System and Method for Robot Assisted Echocardiography,” Indian Patent application No. 202211077085.
A. Kaur, U. Singh, D. Mishra, G. Sharma, K. Desai, S. Chaudhury, "Medical Device For Quantitative Assessment of Loss of Olfactory Sense," Indian Patent application No. 202211067795.
A. Kaur, D. Mishra, P. Khandelwal, "Camera System for Image Recognition using Edge Information," Indian Patent application No. 202211077084.

Journal Publications

A. Singh, D. Mandal, and D. Mishra, "Self-supervised Contextual Representations of Chest X-ray Images," IEEE Signal Processing Letters, 2025.
MK. Kundalwal and D. Mishra, "FLAME: Federated Learning with masked Autoencoders and Mean-prototypes Embedding for Sparsely Labeled Medical Images," IEEE Transactions on Emerging Topics in Computational Intelligence, 2025.
W. Kisku, A. Kaur, and D. Mishra, "Efficient Edge-AI with Binarized Neural Networks and CMOS Image Sensors: A Sparsity-Driven Approach," Circuits, Systems & Signal Processing (CSSP), 2025.
A. Singh, V. Gorade, and D. Mishra, "MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning," IEEE Journal of Biomedical and Health Informatics, 2024.
S. Srivastava and D. Mishra, "Severity of Error in Hierarchical Datasets," Scientific Reports 2024.
V. Gorade, A. Singh, and D. Mishra, "Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping," IEEE Transactions on Neural Networks and Learning Systems 2024.
W. Kisku, A. Kaur, and D. Mishra, "An Intelligent System with Reduced Readout Power and Lightweight CNN for Vision Applications," IEEE Transactions on Circuits and Systems for Video Technology 2024.
R Gavirni, D Gupta, D Mishra, A Gupta, and S Viswamitra, "Clinically Relevant Myocardium Segmentation in Cardiac Magnetic Resonance Images," IEEE Journal of Biomedical and Health Informatics, 2023.
P. Pandey, Prathosh AP., V. Kyatham, D. Mishra, and TR. Dastidar, “Target-independent domain adaptation for WBC classification using generative latent search,” IEEE Transactions on Medical Imaging, 2020.
A. Kaur, D. Mishra, Amogh K. M., and M. Sarkar, “On-array compressive acquisition in CMOS image sensors using accumulated spatial gradients,” IEEE Transactions on Circuits and Systems for Video Technology, 2020.
D. Mishra, J. Aravind, and Prathosh AP., “Effect of the latent structure on clustering with GANs,” IEEE Signal Processing Letters, 2020.
A. Kaur, D. Mishra, and M. Sarkar, “A power efficient image sensor readout with on-chip δ-interpolation using reconfigurable ADC,” IEEE Sensors Journal, 2020.
D. Mishra, S. Chaudhury, M. Sarkar, and A. S. Soin, “Ultrasound image segmentation: A deeply supervised network with attention to boundaries,” IEEE Transactions on Biomedical Engineering, 2019.
A. Kaur, D. Mishra, and M. Sarkar, “A 12-bit, 2.5-bit/phase column-parallel cyclic ADC,” IEEE Transactions on Very Large Scale Integration Systems, 2019.
D. Mishra, S. Chaudhury, M. Sarkar, and A. S. Soin, “Ultrasound image enhancement using structure oriented adversarial network,” IEEE Signal Processing Letters, 2018.
D. Mishra, S. Chaudhury, M. Sarkar, A. S. Soin, and V. Sharma, “Edge probability and pixel relativity-based speckle reducing anisotropic diffusion,” IEEE Transactions on Image Processing, 2018.
D. Mishra, A. Kaur, S. Jain, and M. Sarkar, “Content driven on-chip compression and time efficient reconstruction for image sensor applications,” IEEE Sensors Journal, 2018.
D. Mishra, N. Priyadarshini, S. Chakraborty, and M. Sarkar, “Blood oxygen saturation measurement using polarization-dependent optical sectioning,” IEEE Sensors Journal, 2017.
D. Mishra, G. Gogna, A. Barsaiyan, and M. Sarkar, “Blood pulsation measurement using linearly polarized light,” IEEE Sensors Journal, 2015.
R. K. Jha, P. K. Biswas, B. Gupta, and D. Mishra, “Suprathreshold stochastic resonance and maximizing network for watermark detection,” Journal of Electronic Imaging, 2012.
D. V. Kumar, A. Bhardwaj, and D. Mishra, “Investigation of a turnstile nanoantenna,” IET Micro & Nano Letters, 2011.

Conference Publications

S. Pate*, A. Farooq*, S. Datta, MA Sheikh, A. Kumar, and D. Mishra, "Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model," accepted in Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.
W. Kisku, A. Singh, A. Kaur, and D. Mishra, "ViT Coupled Efficient CMOS Image Sensor with Sparse Acquisition and Patch Selection" accepted in IEEE International Symposium on Circuits and Systems (ISCAS), 2025.
V. Gorade, A. Singh and D. Mishra, "OTCXR: Rethinking Self-supervised Alignment using Optimal Transport for Chest X-ray Analysis," in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
A. Farooq, D. Mishra, and S. Chaudhury, "Survival Prediction in Lung Cancer through Multi-modal Representation Learning", in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
A. Singh and D. Mishra, “IDQCE: Instance Discrimination Learning Through Quantized Contextual Embeddings for Medical Images,” in International Conference on Pattern Recognition (ICPR), 2024.
W. Kisku, A. Kaur, D. Mishra, "Efficient Framework With Sparse Acquisition in CMOS Image Sensors for Low-Power Edge Devices", in IEEE International Symposium on Smart Electronic Systems (IEEE-iSES), 2024 (invited).
MK. Kundalwal, A. Saraswat, I. Mishra, and D. Mishra, "Client Contribution Normalization for Enhanced Federated Learning," in IEEE 21st India Council International Conference (INDICON) 2024.
G. Harini, A. Farooq, D. Mishra, "Leveraging Auxiliary Classification for Rib Fracture Segmentation," in Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2024.
A. Singh and D. Mishra, “CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning,” in Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.
N. Sharma, M. Raj, and D. Mishra, "Aggregation-Assisted Proxyless Distillation: A Novel Approach for Handling System Heterogeneity in Federated Learning," in International Joint Conference on Neural Networks (IJCNN) 2024.
G. Singh, M. Chauhan, D. Mishra, R. Choudhary, and P. S. Khera, "Towards Soft-robotic Assistance of Ultrasonic Imaging," in IEEE South Asian Ultrasonics Symposium (SAUS), 2024.
W. Kisku, P. Khandelwal, A. Kaur and D. Mishra, “An Intelligent CMOS Image Sensor System Using Edge Information for Image Classification,” in IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2023.
S. Kodam, W. Kisku, A. Kaur and D. Mishra, “On edge FPN reduction in CMOS Image Sensor using CNN with attention mechanism,” in IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2023.
I. Mishra, R. Jain, D. Viradiya, D. Patel, and D. Mishra, “Knowledge Distillation with Ensemble Calibration,” in Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2023.
P. Raikwar and D. Mishra, “Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation,” in Conference on Neural Information Processing Systems (NeurIPS), 2022.
M. K. Kundalwal, A. Saraswat, I. Mishra, and D. Mishra, “BAFL: Federated Learning with Base Ablation for Cost Effective Communication,” in 26th International Conference on Pattern Recognition (ICPR), 2022.
H. Sharma, R. Nagar and D. Mishra, “Data Driven Estimation of COVID-19 Prognosis,” in IEEE International Symposium on Biomedical Imaging (ISBI), 2022.
V. Gorade, A. Singh and D. Mishra, “MBGRLp : Multiscale Bootstrap Graph Representation Learning On Point-cloud,” in AAAI, Student Abstract, 2022.
A. Singh and D. Mishra, “Branching Out for Better BYOL,” in NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice, 2021.
W. Kisku, A. Kaur and D. Mishra, “On-chip Pixel Reconstruction using Simple CNN for Sparsely Read CMOS Image Sensor,” in IEEE AICAS, 2021.
V. Kyatham, D. Mishra, and Prathosh AP., “Variational Inference with Latent Space Quantization for Adversarial Resilience,” in ICPR, 2020.
A. Kaur and D. Mishra, “A Reconfigurable Cyclic ADC for Biomedical Applications,” in IEEE BioCAS, 2019.
A. Kaur, D. Mishra, and M. Sarkar, “An on-chip interpolation based readout scheme for low-power, high-speed CMOS image sensors,” in IEEE SENSORS, (among top 5% papers).
S. Bhugra, D. Mishra, A. Anupma, S. Chaudhury, B. Lall, A. Chugh, and V. Chinnusamy, “Deep convolutional neural networks based framework for estimation of stomata density and structure from microscopic images,” in European Conference on Computer Vision (ECCV) workshop - Bio-image computing (BIC), 2018.
D. Mishra, S. Tyagi, S. Chaudhury, M. Sarkar, and A. S. Soin, “Despeckling CNN with ensembles of classical outputs,” in IEEE International Conference on Pattern Recognition (ICPR), 2018.
S. Bhugra, D. Mishra, A. Anupma, S. Chaudhury, B. Lall, and A. Chugh, “Automatic quantification of stomata for high-throughput plant phenotyping,” in IEEE International Conference on Pattern Recognition (ICPR), 2018.
D. Mishra, S. Chaudhury, M. Sarkar, S. Manohar, and A. S. Soin, “Segmentation of vascular regions in ultra- sound images: A deep learning approach,” in IEEE International Symposium on Circuits and Systems (ISCAS), 2018.
A. Kaur, D. Mishra, and M. Sarkar, “A 12-bit, 2.5-bit/cycle, 1 MS/s two-stage cyclic ADC, for high-speed CMOS Image sensors,” in IEEE International Symposium on Circuits and Systems (ISCAS), 2018.
D. Mishra, S. Chaudhury, M. Sarkar, and A. S. Soin, “Edge aware geometric filter for ultrasound image enhancement,” in Annual Conference on Medical Image Understanding and Analysis (MIUA), 2017.
D. Mishra, S. Chandra, A. Chandra, S. Jain, and M. Sarkar, “A portable system for real-time non-contact blood oxygen saturation measurements,”in IEEE Biomedical Circuits and Systems Conference (BioCAS), 2017.
D. Mishra, A. Kaur, and M. Sarkar, “A super-pixel based on-chip image compression for high speed CMOS image sensors,” in IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC), 2017.
S. Chakraborty, D. Mishra, and M. Sarkar, “PSPPG:Polarization sensitive photoplethysmography,” in Eurosensors, 2016.
D. Mishra, S. Chaudhury, M. Sarkar, and A. S. Soin, “Cardiac ultrasound image enhancement using tissue selective total variation regularization,” in Indian Conference on Computer Vision, Graphics, and Image processing (ICVGIP) workshop - MedImage, 2016.
D. Mishra, S. Chakraborty, and M. Sarkar, “Reflection based blood pulsation measurement using linear polarization of light,” in IEEE SENSORS, 2015 (among top 10% papers).
D. Mishra and CS. Vinayak, “Image based circuit simulation,” in IEEE International Conference on Control, Automation, Robotics and Embedded Systems (CARE), (Best Paper Award).
R. K. Jha, P. K. Biswas, and D. Mishra, “Improving watermark detection performance using suprathreshold stochastic resonance,” TENCON, IEEE Region 10 Conference, 2010.