Debdoot Sheet
Orcid: 0000-0001-9046-149X
According to our database1,
Debdoot Sheet
authored at least 81 papers
between 2010 and 2024.
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Bibliography
2024
Knowledge Distillation of Convolutional Neural Networks through Feature Map Transformation using Decision Trees.
CoRR, 2024
2023
Multim. Tools Appl., October, 2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal., October, 2023
Medical Image Anal., May, 2023
Circuits Syst. Signal Process., February, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023
2022
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022
Design of a System and Method for Optimal selection of Tumor Slice using Linear Ultrasound Imaging for Histopathology.
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022
2021
Local instance and context dictionary-based detection and localization of abnormalities.
Mach. Vis. Appl., 2021
Medical Image Anal., 2021
Distill DSM: Computationally efficient method for segmentation of medical imaging volumes.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Assessing Lobe-wise Burden of COVID-19 Infection in Computed Tomography of Lungs using Knowledge Fusion from Multiple Datasets.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Learning to Generate Missing Pulse Sequence in MRI using Deep Convolution Neural Network Trained with Visual Turing Test.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
IEEE Robotics Autom. Mag., 2020
Multim. Tools Appl., 2020
CoRR, 2020
Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN.
IEEE Access, 2020
Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Semantic Segmentation, Detection AND Localisation of Mucosal Lesions from Gastrointestinal Endoscopic Images Using SUMNET.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Anatomical Structure Segmentation in Ultrasound Volumes Using Cross Frame Belief Propagating Iterative Random Walks.
IEEE J. Biomed. Health Informatics, 2019
Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory.
CoRR, 2019
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos.
CoRR, 2019
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy.
CoRR, 2019
Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Learning A Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
SUMNet: Fully Convolutional Model For Fast Segmentation of Anatomical Structures in Ultrasound Volumes.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions.
Proceedings of the Handbook of Deep Learning Applications., 2019
2018
Simulating patho-realistic ultrasound images using deep generative networks with adversarial learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018
A Deep Convolutional Neural Network Based Classification Of Multi-Class Motor Imagery With Improved Generalization.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018
2017
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network.
CoRR, 2017
CoRR, 2017
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Classifying histopathology whole-slides using fusion of decisions from deep convolutional network on a collection of random multi-views at multi-magnification.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Simultaneous localization and classification of acute lymphoblastic leukemic cells in peripheral blood smears using a deep convolutional network with average pooling layer.
Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017
Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks.
IEEE J. Biomed. Health Informatics, 2016
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization.
Medical Image Anal., 2016
Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images.
CoRR, 2016
Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Limitations with measuring performance of techniques for abnormality localization in surveillance video and how to overcome them?
Proceedings of the Tenth Indian Conference on Computer Vision, 2016
Tracking of Retinal Microsurgery Tools Using Late Fusion of Responses from Convolutional Neural Network over Pyramidally Decomposed Frames.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016
Immersive augmented reality system for assisting needle positioning during ultrasound guided intervention.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016
Methods and System for Segmentation of Isolated Nuclei in Microscopic Breast Fine Needle Aspiration Cytology Images.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images Using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016
Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Deep learning of tissue specific speckle representations in optical coherence tomography and deeper exploration for in situ histology.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Mutually coherent structural representation for image registration through joint manifold embedding and alignment.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Deformable registration of immunofluorescence and histology using iterative cross-modal propagation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Probabilistic graphical modeling of speckle statistics in laser speckle contrast imaging for noninvasive and label-free retinal angiography.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015
2014
Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound.
Medical Image Anal., 2014
Comput. Medical Imaging Graph., 2014
Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Learning scale-space representation of nucleus for accurate localization and segmentation of epithelial squamous nuclei in cervical smears.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
Detection of retinal vessels in fundus images through transfer learning of tissue specific photon interaction statistical physics.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison With Virtual Histology.
IEEE Trans. Biomed. Eng., 2012
2010
IEEE Trans. Consumer Electron., 2010
Statistical tools for evaluating classification efficacy of feature extraction techniques.
Proceedings of the Second International Conference on Digital Image Processing, 2010