Statistical tools for evaluating classification efficacy of feature extraction techniques. - Debdoot Sheet; Vikram Venkatraghavan; Amit Suveer; Hrushikesh Garud; Jyotirmoy Chatterjee; Manjunatha Mahadevappa; Ajoy Kumar Ray (ICDIP, 2010)

Brightness preserving dynamic fuzzy histogram equalization. - Debdoot Sheet; Hrushikesh Garud; Amit Suveer; Manjunatha Mahadevappa; Jyotirmoy Chatterjee (IEEE Trans. Consumer Electron., 2010)

Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison With Virtual Histology. - Amin Katouzian; Athanasios Karamalis; Debdoot Sheet; Elisa E. Konofagou; Babak Baseri; Stephane G. Carlier; Abouzar Eslami; Andreas König 005; Nassir Navab; Andrew F. Laine (IEEE Trans. Biomed. Eng., 2012)

Detection of retinal vessels in fundus images through transfer learning of tissue specific photon interaction statistical physics. - Debdoot Sheet; Sri Phani Krishna Karri; Sailesh Conjeti; Sambuddha Ghosh; Jyotirmoy Chatterjee; Ajoy Kumar Ray (ISBI, 2013)

Learning scale-space representation of nucleus for accurate localization and segmentation of epithelial squamous nuclei in cervical smears. - Sri Phani Krishna Karri; Hrushikesh Garud; Debdoot Sheet; Jyotirmoy Chatterjee; Debjani Chakraborty; Ajoy Kumar Ray; Manjunatha Mahadevappa (BHI, 2014)

Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa. - Debdoot Sheet; Satarupa Banerjee; Sri Phani Krishna Karri; Swarnendu Bag; Anji Anura; Amita Giri; Ranjan Rashmi Paul; Mousumi Pal; Badal C. Sarkar; Ranjan Ghosh; Amin Katouzian; Nassir Navab; et al. (ISBI, 2014)

Hunting for necrosis in the shadows of intravascular ultrasound. - Debdoot Sheet; Athanasios Karamalis; Abouzar Eslami; Peter B. Noël; Renu Virmani; Masataka Nakano; Jyotirmoy Chatterjee; Ajoy Kumar Ray; Andrew F. Laine; Stephane G. Carlier; Nassir Navab; Amin Katouzian (Comput. Medical Imaging Graph., 2014)

Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound. - Debdoot Sheet; Athanasios Karamalis; Abouzar Eslami; Peter B. Noël; Jyotirmoy Chatterjee; Ajoy Kumar Ray; Andrew F. Laine; Stephane G. Carlier; Nassir Navab; Amin Katouzian (Medical Image Anal., 2014)

DASA: Domain adaptation in stacked autoencoders using systematic dropout. - Abhijit Guha Roy; Debdoot Sheet (ACPR, 2015)

Probabilistic graphical modeling of speckle statistics in laser speckle contrast imaging for noninvasive and label-free retinal angiography. - Kausik Basak; Goutam Dey; Debdoot Sheet; Manjunatha Mahadevappa; Mahitosh Mandal; Pranab Kumar Dutta (EMBC, 2015)

Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images. - Debapriya Maji; Anirban Santara; Sambuddha Ghosh; Debdoot Sheet; Pabitra Mitra (EMBC, 2015)

Deformable registration of immunofluorescence and histology using iterative cross-modal propagation. - Sailesh Conjeti; Mehmet Yigitsoy; Tingying Peng; Debdoot Sheet; Jyotirmoy Chatterjee; Christine Bayer; Nassir Navab; Amin Katouzian (ISBI, 2015)

Mutually coherent structural representation for image registration through joint manifold embedding and alignment. - Sailesh Conjeti; Mehmet Yigitsoy; Debdoot Sheet; Jyotirmoy Chatterjee; Nassir Navab; Amin Katouzian (ISBI, 2015)

Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. - Abhijit Guha Roy; Sailesh Conjeti; Stephane G. Carlier; Andreas König 005; Adnan Kastrati; Pranab Kumar Dutta; Andrew F. Laine; Nassir Navab; Debdoot Sheet; Amin Katouzian (ISBI, 2015)

Deep learning of tissue specific speckle representations in optical coherence tomography and deeper exploration for in situ histology. - Debdoot Sheet; Sri Phani Krishna Karri; Amin Katouzian; Nassir Navab; Ajoy Kumar Ray; Jyotirmoy Chatterjee (ISBI, 2015)

Unsupervised Segmentation of Overlapping Cervical Cell Cytoplasm. - S. L. Happy; Swarnadip Chatterjee; Debdoot Sheet (CoRR, 2015)

Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography. - Avisek Lahiri; Abhijit Guha Roy; Debdoot Sheet; Prabir Kumar Biswas (EMBC, 2016)

Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images Using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. - Debarghya China; Pabitra Mitra; Debdoot Sheet (ICVGIP Workshops, 2016)

Methods and System for Segmentation of Isolated Nuclei in Microscopic Breast Fine Needle Aspiration Cytology Images. - Hrushikesh Garud; Sri Phani Krishna Karri; Debdoot Sheet; Ashok Kumar Maity; Jyotirmoy Chatterjee; Manjunatha Mahadevappa; Ajoy Kumar Ray (ICVGIP Workshops, 2016)

Immersive augmented reality system for assisting needle positioning during ultrasound guided intervention. - Praveen Kumar Kanithi; Jyotirmoy Chatterjee; Debdoot Sheet (ICVGIP, 2016)

Tracking of Retinal Microsurgery Tools Using Late Fusion of Responses from Convolutional Neural Network over Pyramidally Decomposed Frames. - Kaustuv Mishra; Rachana Sathish; Debdoot Sheet (ICVGIP Workshops, 2016)

Limitations with measuring performance of techniques for abnormality localization in surveillance video and how to overcome them? - Manoj Kumar Sharma; Sayan Sarcar; Debdoot Sheet; Prabir Kumar Biswas (ICVGIP, 2016)

Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography. - Abhijit Guha Roy; Sailesh Conjeti; Stephane G. Carlier; Khalil Houissa; Andreas König 005; Pranab K. Dutta; Andrew F. Laine; Nassir Navab; Amin Katouzian; Debdoot Sheet (ISBI, 2016)

Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images. - Debapriya Maji; Anirban Santara; Pabitra Mitra; Debdoot Sheet (CoRR, 2016)

Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. - Sailesh Conjeti; Amin Katouzian; Abhijit Guha Roy; Loïc Peter; Debdoot Sheet; Stéphane G. Carlier; Andrew Laine; Nassir Navab (Medical Image Anal., 2016)

Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks. - Abhijit Guha Roy; Sailesh Conjeti; Stephane G. Carlier; Pranab Kumar Dutta; Adnan Kastrati; Andrew F. Laine; Nassir Navab; Amin Katouzian; Debdoot Sheet (IEEE J. Biomed. Health Informatics, 2016)

Object detection technique for malaria parasite in thin blood smear images. - Priyadarshini Adyasha Pattanaik; Tripti Swarnkar; Debdoot Sheet (BIBM, 2017)

High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional Networks. - Hrushikesh Garud; Sri Phani Krishna Karri; Debdoot Sheet; Jyotirmoy Chatterjee; Manjunatha Mahadevappa; Ajoy Kumar Ray; Arindam Ghosh; Ashok K. Maity (CVPR Workshops, 2017)

Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures. - Kaustuv Mishra; Rachana Sathish; Debdoot Sheet (CVPR Workshops, 2017)

Simultaneous localization and classification of acute lymphoblastic leukemic cells in peripheral blood smears using a deep convolutional network with average pooling layer. - Arna Ghosh; Satyarth Singh; Debdoot Sheet (ICIIS, 2017)

Classifying histopathology whole-slides using fusion of decisions from deep convolutional network on a collection of random multi-views at multi-magnification. - Kausik Das; Sri Phani Krishna Karri; Abhijit Guha Roy; Jyotirmoy Chatterjee; Debdoot Sheet (ISBI, 2017)

Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. - Abhijit Guha Roy; Sailesh Conjeti; Debdoot Sheet; Amin Katouzian; Nassir Navab; Christian Wachinger (MICCAI (3), 2017)

An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation. - Pranav Kumar; S. L. Happy; Swarnadip Chatterjee; Debdoot Sheet; Aurobinda Routray (CoRR, 2017)

ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network. - Abhijit Guha Roy; Sailesh Conjeti; Sri Phani Krishna Karri; Debdoot Sheet; Amin Katouzian; Christian Wachinger; Nassir Navab (CoRR, 2017)

Image Embedding for Detecting Irregularity. - Manoj Kumar Sharma; Debdoot Sheet; Prabir Kumar Biswas (CVIP (2), 2018)

Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. - Aupendu Kar; Sri Phani Krishna Karri; Nirmalya Ghosh; Ramanathan Sethuraman; Debdoot Sheet (CVPR Workshops, 2018)

A Deep Convolutional Neural Network Based Classification Of Multi-Class Motor Imagery With Improved Generalization. - Aupendu Kar; Sutanu Bera; Sri Phani Krishna Karri; Sudipta Ghosh; Manjunatha Mahadevappa; Debdoot Sheet (EMBC, 2018)

Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain. - Ekagra Ranjan; Soumava Paul; Siddharth Kapoor; Aupendu Kar; Ramanathan Sethuraman; Debdoot Sheet (ICVGIP, 2018)

Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification. - Kausik Das; Sailesh Conjeti; Abhijit Guha Roy; Jyotirmoy Chatterjee; Debdoot Sheet (ISBI, 2018)

Simulating patho-realistic ultrasound images using deep generative networks with adversarial learning. - Francis Tom; Debdoot Sheet (ISBI, 2018)

Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions. - Kaustuv Mishra; Rachana Sathish; Debdoot Sheet (Handbook of Deep Learning Applications, 2019)

Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network. - Rachana Sathish; Debdoot Sheet (CVPR Workshops, 2019)

Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging. - Rachana Sathish; Ronnie Rajan; Anusha Vupputuri; Nirmalya Ghosh; Debdoot Sheet (EMBC, 2019)

Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks. - Debarghya China; Francis Tom; Sumanth Nandamuri; Aupendu Kar; Mukundhan Srinivasan; Pabitra Mitra; Debdoot Sheet (ISBI, 2019)

SUMNet: Fully Convolutional Model For Fast Segmentation of Anatomical Structures in Ultrasound Volumes. - Sumanth Nandamuri; Debarghya China; Pabitra Mitra; Debdoot Sheet (ISBI, 2019)

Learning A Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. - Francis Tom; Himanshu Sharma; Dheeraj Mundhra; Tathagato Rai Dastidar; Debdoot Sheet (ISBI, 2019)

Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images. - Oindrila Saha; Rachana Sathish; Debdoot Sheet (MIDL, 2019)

Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy. - Oindrila Saha; Rachana Sathish; Debdoot Sheet (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. - Shanka Subhra Mondal; Rachana Sathish; Debdoot Sheet (CoRR, 2019)

Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory. - Saket Singh; Debdoot Sheet; Mithun Dasgupta (CoRR, 2019)

Anatomical Structure Segmentation in Ultrasound Volumes Using Cross Frame Belief Propagating Iterative Random Walks. - Debarghya China; Alfredo Illanes; Prabal Poudel; Michael Friebe; Pabitra Mitra; Debdoot Sheet (IEEE J. Biomed. Health Informatics, 2019)

Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. - Arunava Chakravarty; Tandra Sarkar; Nirmalya Ghosh; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. - Sarath Chandra K; Arunava Chakravarty; Nirmalya Ghosh; Tandra Sarkar; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. - Arka Mitra; Arunava Chakravarty; Nirmalya Ghosh; Tandra Sarkar; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. - Rakshith Sathish; Rachana Sathish; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

Semantic Segmentation, Detection AND Localisation of Mucosal Lesions from Gastrointestinal Endoscopic Images Using SUMNET. - Velmurugan Balasubramanian; Rajiv Kumar; Sarasa Jyothsna Kamireddi; Rachana Sathish; Debdoot Sheet (EndoCV@ISBI, 2020)

Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural Network. - Anand Mooga; Ramanathan Sethuraman; Debdoot Sheet (ISBI, 2020)

Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN. - Kausik Das; Sailesh Conjeti; Jyotirmoy Chatterjee; Debdoot Sheet (IEEE Access, 2020)

Identification of Cervical Pathology using Adversarial Neural Networks. - Abhilash Nandy; Rachana Sathish; Debdoot Sheet (CoRR, 2020)

IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. - Qi She; Fan Feng; Qi Liu 042; Rosa H. M. Chan; Xinyue Hao 001; Chuanlin Lan; Qihan Yang; Vincenzo Lomonaco; German Ignacio Parisi; Heechul Bae; Eoin Brophy; Baoquan Chen; et al. (CoRR, 2020)

Spatiotemporal deep networks for detecting abnormality in videos. - Manoj Kumar Sharma; Debdoot Sheet; Prabir Kumar Biswas (Multim. Tools Appl., 2020)

IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. - Heechul Bae; Eoin Brophy; Rosa H. M. Chan; Baoquan Chen; Fan Feng; Gabriele Graffieti; Vidit Goel; Xinyue Hao 001; Hyonyoung Han; Sathursan Kanagarajah; Somesh Kumar; Siew-Kei Lam; et al. (IEEE Robotics Autom. Mag., 2020)

Covid19action-radiology-CXR. - Debdoot Sheet; Arunava Chakravarty; Tandra Sarkar; Rakshith Sathish; Aditya Raj; Velmurugan Balasubramanian; Ronnie Rajan; Rachana Sathish; Nishant Chakravorty; Manjira Sinha; Manoj Sharma; Vikas Kumar; et al. (IEEE DataPort, 2020)

Pulmonary lobe segmentation of COVID-19 CT scans. - Velmurugan Balasubramanian; Suhasini Balasubramaniam; Debdoot Sheet; Rachana Sathish; Mahalakshumi Visvanathan (IEEE DataPort, 2020)

Learning to Generate Missing Pulse Sequence in MRI using Deep Convolution Neural Network Trained with Visual Turing Test. - Vikas Kumar; Manoj Kumar Sharma; Ramalingam Jehadeesan; Balasubramaniam Venkatraman; Garima Suman; Anurima Patra; Ajit H. Goenka; Debdoot Sheet (EMBC, 2021)

Assessing Lobe-wise Burden of COVID-19 Infection in Computed Tomography of Lungs using Knowledge Fusion from Multiple Datasets. - Mahalakshumi Visvanathan; Velmurugan Balasubramanian; Rachana Sathish; Suhasini Balasubramaniam; Debdoot Sheet (EMBC, 2021)

Federated Learning for Site Aware Chest Radiograph Screening. - Arunava Chakravarty; Avik Kar; Ramanathan Sethuraman; Debdoot Sheet (ISBI, 2021)

Distill DSM: Computationally efficient method for segmentation of medical imaging volumes. - Harsh Maheshwari; Vidit Goel; Ramanathan Sethuraman; Debdoot Sheet (MIDL, 2021)

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. - A. Emre Kavur; Naciye Sinem Gezer; Mustafa Baris; Sinem Aslan; Pierre-Henri Conze; Vladimir Groza; Duc Duy Pham; Soumick Chatterjee; Philipp Ernst; Savas Özkan; Bora Baydar; Dmitry A. Lachinov; et al. (Medical Image Anal., 2021)

Local instance and context dictionary-based detection and localization of abnormalities. - Manoj Kumar Sharma; Debdoot Sheet; Prabir Kumar Biswas (Mach. Vis. Appl., 2021)

Design of a System and Method for Optimal selection of Tumor Slice using Linear Ultrasound Imaging for Histopathology. - Abhishek Kumar; Debdoot Sheet (ICVGIP, 2022)

I'm GROOT: a multi head multi GRaph netwOrk recognizing surgical actiOn Triplets✱. - Sista Raviteja; Rachana Sathish; Riya Agrawal; Utpal De; Partha Pratim Chakrabarti; Debdoot Sheet (ICVGIP, 2022)

Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks. - Rakshith Sathish; Swanand R. Khare; Debdoot Sheet (DeCaF/FAIR@MICCAI, 2022)

Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM). - Arunava Chakravarty; Tandra Sarkar; Rakshith Sathish; Ramanathan Sethuraman; Debdoot Sheet (IEEE DataPort, 2022)

Fed2Tier: A Two-Tier Federated Learning System Towards Green Computation. - Anupam Borthakur; Apoorva Srivastava; Aditya Kasliwal; Debdoot Sheet (AIMLSystems, 2023)

Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. - Ravi Kakaiya; Rakshith Sathish; Debdoot Sheet; Ramanathan Sethuraman (ICME Workshops, 2023)

Attention in a Little Network is All You Need to Go Green. - Dipayan Dewan; Anupam Borthakur; Debdoot Sheet (ISBI, 2023)

Designing Deep Neural High-Density Compression Engines for Radiology Images. - Aditya Raj; Rakshith Sathish; Tandra Sarkar; Ramanathan Sethuraman; Debdoot Sheet (Circuits Syst. Signal Process., 2023)

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. - Chinedu Innocent Nwoye; Deepak Alapatt; Tong Yu 009; Armine Vardazaryan; Fangfang Xia; Zixuan Zhao; Tong Xia; Fucang Jia; Yuxuan Yang; Hao Wang 081; Derong Yu; Guoyan Zheng; et al. (Medical Image Anal., 2023)

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. - Chinedu Innocent Nwoye; Tong Yu 009; Saurav Sharma; Aditya Murali; Deepak Alapatt; Armine Vardazaryan; Kun Yuan 004; Jonas Hajek; Wolfgang Reiter; Amine Yamlahi; Finn-Henri Smidt; Xiaoyang Zou; et al. (Medical Image Anal., 2023)

Frame-level global context modeling for detection and localization of abnormality. - Manoj Kumar Sharma; Vikas Kumar 001; Debdoot Sheet; Prabir Kumar Biswas (Multim. Tools Appl., 2023)

SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. - Manav Nitin Kapadnis; Sohan Patnaik; Abhilash Nandy; Sourjyadip Ray; Pawan Goyal 002; Debdoot Sheet (ClinicalNLP@NAACL, 2024)

Fantom: Federated Adversarial Network for Training Multi-Sequence Magnetic Resonance Imaging in Semantic Segmentation. - Anupam Borthakur; Apoorva Srivastava; Avik Kar; Dipayan Dewan; Debdoot Sheet (ICIP, 2024)

MeDiANet: A Lightweight Network for Large-scale Multi-disease Classification of Multi-modal Medical Images Using Dilated Convolution and Attention Network. - Dipayan Dewan; Asim Manna; Apoorva Srivastava; Anupam Borthakur; Debdoot Sheet (ICPR (25), 2024)

Learning Neural Networks for Multi-label Medical Image Retrieval Using Hamming Distance Fabricated with Jaccard Similarity Coefficient. - Asim Manna; Debdoot Sheet (ICPR (12), 2024)

Constant Time Decision Trees and Random Forest. - Maddimsetti Srinivas; Debdoot Sheet (ICPR (5), 2024)

Exploring the Limits of VLMs: A Dataset for Evaluating Text-to-Video Generation✱. - Avnish Srivastava; Sista Raviteja; Partha P. Chakrabarti; Debdoot Sheet (ICVGIP, 2024)

MeDiANet Implementation and Reproducibility Details. - Dipayan Dewan; Asim Manna; Dyutit Mohanty; Debdoot Sheet (RRPR, 2024)

Research Reproducibility Paper: Learning Neural Networks for Multi-label Medical Image Retrieval Using Hamming Distance Fabricated with Jaccard Similarity Coefficient. - Asim Manna; Debdoot Sheet (RRPR, 2024)

Knowledge Distillation of Convolutional Neural Networks through Feature Map Transformation using Decision Trees. - Maddimsetti Srinivas; Debdoot Sheet (CoRR, 2024)

Simulating cross-modal medical images using multi-task adversarial learning of a deep convolutional neural network. - Vikas Kumar; Manoj Kumar Sharma; Ramalingam Jehadeesan; Balasubramaniam Venkatraman; Debdoot Sheet (Int. J. Imaging Syst. Technol., 2024)

Frequency Agnostic Tissue Characterization in Ultrasound Imaging using Backscattered Signal Statistics. - Abhinav Gadge; Abhishek Kumar; Debdoot Sheet (ICASSP, 2025)

Deep neural hashing for content-based medical image retrieval: A survey. - Asim Manna; Sista Raviteja; Debdoot Sheet (Comput. Biol. Medicine, 2025)

A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentation. - Rachana Sathish; Debdoot Sheet (Comput. Biol. Medicine, 2025)