Debesh Jha

S. Ali, D. Jha, N. Ghatwary, S. Realdon, R. Cannizzaro, O. E. Salem, D. Lamarque, C. Daul, K. Anonsen, M. Riegler, K. V. Ånonsen, A. Petlund, P. Halvorsen, J. Rittscher, T. de Lange and J. E. East

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

Nature Scientific Data

N. K. Tomar, D. Jha, M. Riegler, H. D. Johansen, D. Johansen, J. Rittscher, P. Halvorsen and S. Ali

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

IEEE Transactions on Neural Networks and Learning Systems

A. Srivastava, D. Jha, S. Chanda, U. Pal, H. Johansen, D. Johansen, M. Riegler, S. Ali and P. Halvorsen

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

IEEE Journal of Biomedical and Health Informatics

R. Khadka, D. Jha, S. Hicks, V. Thambawita, M. Riegler, S. Ali and P. Halvorsen

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

Computers in Biology and Medicine

A. Srivastava, S. Chanda, D. Jha, U. Pal and S. Ali

GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation

26th International Conference on Pattern Recognition

D. Jha, A. Rauniyar, H. D. Johansen, D. Johansen, M. Riegler, P. Halvorsen and U. Bagci

Video Analytics in Elite Soccer: A Distributed Computing Perspective

IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)

D. Jha

Machine Learning-based Classification, Detection, and Segmentation of Medical Images

UiT The Arctic University of Norway

D. Jha, P. H. Smedsrud, D. Johansen, T. de Lange, H. D. Johansen, P. Halvorsen and M. Riegler

A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation

IEEE Journal of Biomedical and Health Informatics

D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig, M. Tran, W. Meng, T. Hoang, D. Dias, T. H. Ko, T. Agrawal, O. Ostroukhova, Z. Khan, M. A. Tahir, Y. Liu, Y. Chang, M. Kirkerød, D. Johansen, M. Lux, H. D. Johansen, M. Riegler and P. Halvorsen

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Analysis

S. Rauniyar, V. K. Jha, R. K. Jha, D. Jha and A. Rauniyar

Improving Polyp Segmentation in Colonoscopy using Deep Learning

Nordic Machine Intelligence

S. Rauniyar, V. K. Jha, R. K. Jha, D. Jha and A. Rauniyar

Improving Polyp Segmentation in Colonoscopy using Deep Learning

Nordic Machine Intelligence

P. H. Smedsrud, V. Thambawita, S. Hicks, H. Gjestang, O. O. Nedrejord, E. Næss, H. Borgli, D. Jha, T. J. D. Berstad, S. L. Eskeland, M. Lux, H. Espeland, A. Petlund, D. T. D. Nguyen, E. Garcia-Ceja, D. Johansen, P. T. Schmidt, E. Toth, H. L. Hammer, T. de Lange, M. Riegler and P. Halvorsen

Kvasir-Capsule, a video capsule endoscopy dataset

Scientific Data

S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, B. Singstad, S. Gaur, K. Pettersen, M. Goodwin, S. Parasa, T. de Lange and M. Riegler

MedAI: Transparency in Medical Image Segmentation

Nordic Machine Intelligence

D. Jha, S. Ali, N. K. Tomar, H. D. Johansen, D. Johansen, J. Rittscher, M. Riegler and P. Halvorsen

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

IEEE Access

S. Alam, N. K. Tomar, A. Thakur, D. Jha and A. Rauniyar

Automatic Polyp Segmentation using U-Net-ResNet50

Medico MediaEval 2020

N. K. Tomar, D. Jha, S. Ali, H. D. Johansen, D. Johansen, M. Riegler and P. Halvorsen

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

25th International Conference on Pattern Recognition

D. Jha, S. Ali, N. K. Tomar, M. Riegler, D. Johansen, H. D. Johansen and P. Halvorsen

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

2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)

E. Garcia-Ceja, V. Thambawita, S. Hicks, D. Jha, P. Jakobsen, H. L. Hammer, P. Halvorsen and M. Riegler

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

27th International Conference on Multimedia Modeling

D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen, D. Johansen and P. Halvorsen

Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

27th International Conference on Multimedia Modeling

S. Hicks, D. Jha, V. Thambawita, H. L. Hammer, T. de Lange, S. Parasa, M. Riegler and P. Halvorsen

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

Mediaeval Medico 2021

D. Jha, N. K. Tomar, S. Ali, M. Riegler, H. D. Johansen, D. Johansen, T. de Lange and P. Halvorsen

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

34th IEEE CBMS International Symposium on Computer-Based Medical Systems

A. Srivastava, S. Chanda, D. Jha, M. Riegler, P. Halvorsen, D. Johansen and U. Pal

PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation

Proc. of 2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)

G. Ji, Y. Chou, D. Fan, G. Chen, H. Fu, D. Jha and L. Shao

Progressively Normalized Self-Attention Network for Video Polyp Segmentation

Medical Image Computing and Computer Assisted Intervention (MICCAI 2021)

I. Strümke, S. Hicks, V. Thambawita, D. Jha, S. Parasa, M. Riegler and P. Halvorsen

Artificial Intelligence in Gastroenterology

Artificial Intelligence in Medicine

S. Rauniyar, A. Srivastava, V. K. Jha, R. K. Jha, D. Jha and A. Rauniyar

Automated Polyp Segmentation in Colonoscopy using MSRFNet

MediaEval medico

N. KumarTomar, N. Ibtehaz, D. Jha, P. Halvorsen and S. Ali

Improving generalizibilty in polyp segmentation using ensemble convolutional neural network

3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV2021)

V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen and M. Riegler

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

T. Roß, A. Reinke, P. M. Full, M. Wagner, H. Kenngott, M. Apitz, H. Hempe, D. M. Filimon, P. Scholz, T. N. Tran, P. Bruno, P. A. ́. aez, G. Bin Bian, S. Bodenstedt, J. L. Bolmgren, L. B. ́. anchez, H. Bin Chen, C. G. ́. alez, D. Guo, P. Halvorsen, P. Heng, E. Hosgor, Z. Hou, F. Isensee, D. Jha, T. Jiang, Y. Jin, K. Kirtac, S. Kletz, S. Leger, Z. Li, K. H. Maier-Hein, Z. Ni, M. Riegler, K. Schoeffmann, R. Shi, S. Speidel, M. Stenzel, I. Twick, G. Wang, i. Wang, L. Wang, L. Wang, Y. Zhang, Y. Zhou, L. Zhu, M. Wiesenfarth, A. Kopp-Schneider, B. P. M. ̈. uller-Stich and L. Maier-Hein

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

Medical Image Analysis

H. Borgli, V. Thambawita, P. H. Smedsrud, S. Hicks, D. Jha, S. L. Eskeland, K. R. Randel, K. Pogorelov, M. Lux, D. T. D. Nguyen, D. Johansen, C. Griwodz, H. K. Stensland, E. Garcia-Ceja, P. T. Schmidt, H. L. Hammer, M. Riegler, P. Halvorsen and T. de Lange

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific Data

D. Jha, M. Riegler, D. Johansen, P. Halvorsen and H. D. Johansen

DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

CBMS 2020: International Symposium on Computer-Based Medical Systems

D. Jha, P. H. Smedsrud, M. Riegler, P. Halvorsen, H. D. Johansen, T. de Lange and D. Johansen

Kvasir-SEG: A Segmented Polyp Dataset

International Conference on Multimedia Modeling

D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen, D. Johansen and P. Halvorsen

Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

International Conference on Multimedia Modeling

D. Jha, A. Yazidi, M. Riegler, D. Johansen, H. D. Johansen and P. Halvorsen

LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification

The Joint International Conference PDCAT-PAAP 2020

D. Jha, S. Hicks, K. Emanuelsen, H. D. Johansen, D. Johansen, T. de Lange, M. Riegler and P. Halvorsen

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation

Medico MediaEval 2020

V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen, S. Nordvang, S. Pedersen, A. Gjerdrum, T. Grønli, P. M. Fredriksen, R. Eg, K. Hansen, S. Fagernes, C. Claudi, A. Biørn-Hansen, D. T. D. Nguyen, T. Kupka, H. L. Hammer, R. Jain, M. Riegler and P. Halvorsen

PMData: a sports logging dataset

Proceedings of the 11th ACM Multimedia Systems Conference

S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, H. L. Hammer and M. Riegler

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy

25th International Conference on Pattern Recognition (ICPR)

D. Jha, P. H. Smedsrud, M. Riegler, D. Johansen, T. de Lange, P. Halvorsen and H. D. Johansen

ResUNet++: An Advanced Architecture for Medical Image Segmentation

2019 IEEE International Symposium on Multimedia (ISM)

V. Thambawita and D. Jha

The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning

MediaEval 2018