Journal Articles & Conference Papers

D. Jha et al., ” Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges,” Medical Image Analysis, 2024.

D. Jha et al., ” PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment,” Nature Scientific Data, 2023.

D. Jha, ” Machine Learning-based Classification, Detection, and Segmentation of Medical Images,” PhD Thesis, 2022.

N. Tomar, D. Jha et al., ” FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation,” IEEE Transactions on Neural Networks and Learning Systems, 2022.

A. Srivastava, D. Jha et al., ” MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation,” IEEE Journal of Biomedical and Health Informatics, 2022.

R. Khadka, D. Jha et al., ” Meta-learning with implicit gradients in a few-shot setting for medical image segmentation,” Computers in Biology and Medicine, 2022.

D. Jha et al., ” A Comprehensive analysis of classification methods in gastrointestinal endoscopy imaging,” Medical Image Analysis, vol. 70, 2021.

D. Jha et al., ” A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation,” IEEE Journal of Biomedical and Health Informatics, 2021.

D. Jha et al., ” Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning,” IEEE Journal of Biomedical and Health Informatics, 2021.

T. Ross, A. Reinke, D. Jha et al., ” Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 Challenge,” Medical Image Analysis, vol. 70, 2021.

V. Thambawita, D. Jha et al., ” An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification,” ACM Transactions on Computing for Healthcare, vol. 1, no. 3, 2021.

P. Smedsrud*, H. Gjestang*, O. Nedrejord*, E. Næss*, V. Thambawita*, S. Hicks*, H. Borgli*, D. Jha*, et al., ” Kvasir-Capsule, a video capsule endoscopy dataset,” Nature Scientific Data [equally contributed], 2021.

H. Borgli*, V. Thambawita*, P. Smedsrud*, S. Hicks*, D. Jha*, S. Eskeland, et al., ” Hyper-Kvasir: A Comprehensive Multi-Class Image and Video Dataset for Gastrointestinal Endoscopy,” Nature Scientific Data [Contributed equally], 2020.

D. Jha et al., ” Diagnosis of Alzheimer’s Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network,” Journal of Healthcare Engineering, 2017.

D. Jha et al., ” CT Liver Segmentation via PVT-based Encoding and Refined Decoding,” ISBI, 2024.

D. Jha et al., ” GastroVision: A Multi-class Endoscopy Image Dataset for Computer-Aided GI Disease Detection,” ICML ML4MHD Workshop, 2023.

D. Jha et al., ” TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing,” MIDL, 2023.

N. K. Tomar, A. Shergill, B. Rieders, U. Bagci, & D. Jha, ” TransResU-Net: Transformer-based ResU-Net for Real-Time Colonoscopy Polyp Segmentation,” IEEE BHI, 2022.

N. K Tomar, D. Jha, U. Bagci, Sharib Ali, ” Text-guided attention for improved polyp segmentation,” MICCAI, 2022.

G.-P. Ji, Y.-C. Chou, D.-P. Fan, G. Chen, H. Fu, D. Jha, L. Shao, ” Progressively Normalized Self-Attention Network for Video Polyp Segmentation,” MICCAI, 2021.

D. Jha et al., ” Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy,” IEEE BHI, 2021.

D. Jha et al., ” NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy,” IEEE CBMS, 2021.

S. A. Hicks, D. Jha, V. Thambawita, P. Halvorsen and M. Riegler, ” The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy,” ICPR Workshop, 2020.

D. Jha et al., ” LightLayers: Parameter-Efficient Dense and Convolutional Layers for Image Classification,” PDCAT-PAAP, 2020.

D. Jha et., ” DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation,” CBMS, 2020.

D. Jha et al., ” Kvasir-SEG: A segmented polyp dataset,” IEEE ISM, 2019.

D. Jha et al., ” ResUNet++: An advanced architecture for medical image segmentation,” IEEE ISM, 2019.