Debdoot Sheet

Indian Institute of Technology Kharagpur — India

Computer Science · Physical Sciences

22h-index3.4kcitations164works1.32yr avg
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Research Topics

AI in cancer detection(30), Radiomics and Machine Learning in Medical Imaging(25), COVID-19 diagnosis using AI(18), Digital Imaging for Blood Diseases(16), Advanced Neural Network Applications(15)

Publications164 total

Deep Learning Through the Lens of Information Bottleneck Perched Atop a Random Forest
2025
Learning to compress electrocardiogram signals on a quick response code
Scientific Reports·2025Open Access
Method for Developing Tissue-mimicking Ultrasound Imaging Phantoms of Organs using Polyvinyl Alcohol and 3-D Printed Moulds
Ultrasound in Medicine & Biology·2025
Encoder-Decoder Refined Recurrent Transformer Network for Accelerated MRI Reconstruction
2025
Research Reproducibility Paper: Learning Neural Networks for Multi-label Medical Image Retrieval Using Hamming Distance Fabricated with Jaccard Similarity Coefficient
Lecture notes in computer science·2025
MeDiANet Implementation and Reproducibility Details
Lecture notes in computer science·2025
Design and implementation of a low-cost gimbal-based angular ultrasound gantry for optimal tissue slice selection using deep learning
HardwareX·2025Open Access
EDGeNet: Electroencephalography Denoising Efficient Network for Fast Artifact Removal
2025
Deep neural hashing for content-based medical image retrieval: A survey
Computers in Biology and Medicine·2025· 3 cited
Structured hashing with deep learning for modality, organ, and disease content sensitive medical image retrieval
Scientific Reports·2025· 2 citedOpen Access
Frequency Agnostic Tissue Characterization in Ultrasound Imaging using Backscattered Signal Statistics
2025
OPHash: learning of organ and pathology context-sensitive hashing for medical image retrieval
Journal of Medical Imaging·2025· 1 citedOpen Access
L2G-ECG: Learning to Generate Missing Leads in ECG Signals using Adversarial Autoencoder
IEEE Journal of Biomedical and Health Informatics·2025· 1 citedOpen Access
A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentation
Computers in Biology and Medicine·2024· 3 cited
Exploring the Limits of VLMs: A Dataset for Evaluating Text-to-Video Generation
2024Open Access
MeDiANet: A Lightweight Network for Large-scale Multi-disease Classification of Multi-modal Medical Images Using Dilated Convolution and Attention Network
Lecture notes in computer science·2024· 2 cited
Learning Neural Networks for Multi-label Medical Image Retrieval Using Hamming Distance Fabricated with Jaccard Similarity Coefficient
Lecture notes in computer science·2024
Constant Time Decision Trees and Random Forest
Lecture notes in computer science·2024
Fantom: Federated Adversarial Network for Training Multi-Sequence Magnetic Resonance Imaging in Semantic Segmentation
2024
FedERA: Framework for Federated Learning with Diversified Edge Resource Allocation
2024· 1 cited
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Frequent Co-authors

Jyotirmoy Chatterjee(17), Nassir Navab(12), Amin Katouzian(11), Sailesh Conjeti(9), Ajoy Kumar Ray(9), Abhijit Guha Roy(8), Sri Phani Krishna Karri(8), Rachana Sathish(7), Manjunatha Mahadevappa(6), Stéphane Carlier(6), Andrew F. Laine(6), Pabitra Mitra(5), Hrushikesh Garud(4), Christian Wachinger(3), Kausik Das(3), Debapriya Maji(3), Anirban Santara(3), Pranab Kumar Dutta(3), Ramanathan Sethuraman(3), Athanasios Karamalis(3)