Debesh Jha
Orcid: 0000-0002-8078-6730
According to our database1,
Debesh Jha
authored at least 72 papers
between 2017 and 2024.
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Bibliography
2024
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions.
IEEE Internet Things J., 2024
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans.
CoRR, 2023
PGS: Pose-Guided Supervision for Mitigating Clothes-Changing in Person Re-Identification.
CoRR, 2023
Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation.
CoRR, 2023
CoRR, 2023
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023
CoRR, 2023
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification.
CoRR, 2023
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR, 2023
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification.
CoRR, 2023
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.
CoRR, 2023
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications.
CoRR, 2023
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the IEEE International Conference on Electro Information Technology, 2023
Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
CoRR, 2022
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation.
CoRR, 2022
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR, 2022
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation.
Comput. Biol. Medicine, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation.
IEEE J. Biomed. Health Informatics, 2021
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Medical Image Anal., 2021
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging.
Medical Image Anal., 2021
CoRR, 2021
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy.
CoRR, 2021
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment.
CoRR, 2021
Few-shot segmentation of medical images based on meta-learning with implicit gradients.
CoRR, 2021
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.
IEEE Access, 2021
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021
Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network.
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification.
ACM Trans. Comput. Heal., 2020
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning.
CoRR, 2020
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2020
Proceedings of the 11th ACM Multimedia Systems Conference, 2020
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
2019
Proceedings of the IEEE International Symposium on Multimedia, 2019
2018
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
2017
Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier.
Comput. Intell. Neurosci., 2017