An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.

[BibT_eX]

[DOI]

CoRR, 2023

TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation.

[BibT_eX]

[DOI]

Debesh Jha

Nikhil Kumar Tomar

Ulas Bagci

CoRR, 2023

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification.

[BibT_eX]

[DOI]

CoRR, 2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.

[BibT_eX]

[DOI]

Debesh Jha

Ashish Rauniyar

Abhishek Srivastava

Desta Haileselassie Hagos

CoRR, 2023

Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications.

[BibT_eX]

[DOI]

CoRR, 2023

DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation.

[BibT_eX]

[DOI]

Nikhil Kumar Tomar

Debesh Jha

Ulas Bagci

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

RUPNet: residual upsampling network for real-time polyp segmentation.

[BibT_eX]

[DOI]

Nikhil Kumar Tomar

Ulas Bagci

Debesh Jha

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Gastrointestinal Disease Diagnosis with Hybrid Model of Capsules and CNNs.

[BibT_eX]

[DOI]

Abdullah Said Erdogan

Debesh Jha

Ulas Bagci

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.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2022

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

[BibT_eX]

[DOI]

CoRR, 2022

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

TGANet: Text-Guided Attention for Improved Polyp Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics.

[BibT_eX]

[DOI]

Ashish Rauniyar

Desta Haileselassie Hagos

Debesh Jha

Jan Erik Håkegård

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Video Analytics in Elite Soccer: A Distributed Computing Perspective.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Transformer Based Generative Adversarial Network for Liver Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

2020 CATARACTS Semantic Segmentation Challenge.

[BibT_eX]

[DOI]

CoRR, 2021

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy.

[BibT_eX]

[DOI]

CoRR, 2021

PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment.

[BibT_eX]

[DOI]

CoRR, 2021

Few-shot segmentation of medical images based on meta-learning with implicit gradients.

[BibT_eX]

[DOI]

Rabindra Khadga

Debesh Jha

Sharib Ali

Steven Alexander Hicks

Vajira Thambawita

Michael A. Riegler

Pål Halvorsen

CoRR, 2021

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.

[BibT_eX]

[DOI]

IEEE Access, 2021

Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy.

[BibT_eX]

[DOI]

Debesh Jha

Sharib Ali

Krister Emanuelsen

Steven Alexander Hicks

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features.

[BibT_eX]

[DOI]

Enrique Garcia-Ceja

Vajira Thambawita

Steven Alexander Hicks

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Progressively Normalized Self-Attention Network for Video Polyp Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Automated Polyp Segmentation in Colonoscopy using MSRFNet.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network.

[BibT_eX]

[DOI]

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

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Comput. Heal., 2020

Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning.

[BibT_eX]