引用次数
引用: 5,602
H-指数: 31
I10-指数 : 42
出版物: 154
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning
Pål Halvorsen , Hugo Lewi Hammer , Dag Johansen , Håvard D. Johansen
arXiv: Learning
8
2018
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning.
Pål Halvorsen , Hugo Lewi Hammer , Dag Johansen , Håvard D. Johansen
MediaEval
3
2018
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Thomas de Lange , Debesh Jha , Pia H. Smedsrud , Pal Halvorsen
arXiv: Image and Video Processing
6
2019
The HyperKvasir Dataset
Pål Halvorsen , Michael Riegler , Debesh Jha , Steven Hicks
OSF
1
2019
Robust Medical Instrument Segmentation Challenge 2019.
Lena Maier-Hein , Klaus H. Maier-Hein , Klaus Schoeffmann , Annette Kopp-Schneider
arXiv: Computer Vision and Pattern Recognition
24
2020
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Pål Halvorsen , Dag Johansen , Håvard D. Johansen , Michael A. Riegler
arXiv: Image and Video Processing
4
2020
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation.
Pål Halvorsen , Dag Johansen , Håvard D. Johansen , Michael A. Riegler
arXiv: Image and Video Processing
6
2020
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
Pål Halvorsen , Dag Johansen , Håvard D. Johansen , Michael A. Riegler
arXiv: Computer Vision and Pattern Recognition
2021
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy.
Enrique Garcia-Ceja , Pål Halvorsen , Dag Johansen , Sharib Ali
conference on multimedia modeling 218 -229
3
2021
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy.
Pål Halvorsen , Hugo Lewi Hammer , Michael A. Riegler , Debesh Jha
ICPR Workshops (8) 263 -274
7
2020
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation.
Pål Halvorsen , Dag Johansen , Sharib Ali , Håvard D. Johansen
ICPR Workshops (8) 307 -314
1
2020
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification.
Pål Halvorsen , Dag Johansen , Håvard D. Johansen , Michael A. Riegler
parallel and distributed computing: applications and technologies 285 -296
2020
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.
Jens Rittscher , Pål Halvorsen , Dag Johansen , Sharib Ali
arXiv: Computer Vision and Pattern Recognition
2021
Progressively Normalized Self-Attention Network for Video Polyp Segmentation.
Ling Shao , Huazhu Fu , Geng Chen , Debesh Jha
arXiv: Computer Vision and Pattern Recognition
49
2021
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
Vajira Thambawita , Debesh Jha , Hugo Lewi Hammer , Håvard D. Johansen
arXiv: Learning
2
2020
P4-095: CONTOURLET-BASED FEATURE EXTRACTION FOR COMPUTER-AIDED CLASSIFICATION OF ALZHEIMER'S DISEASE
Debesh Jha , Goo-Rak Kwon
Alzheimers & Dementia 14
1
2018
DIAGNOSIS OF ALZHEIMER’S DISEASE USING A MACHINE LEARNING TECHNIQUE
Debesh Jha , Goo-Rak Kwon
Alzheimers & Dementia 13 ( 7) 1538
2017
Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha , Pia H. Smedsrud , Michael A. Riegler , Pål Halvorsen
conference on multimedia modeling 11962 451 -462
47
2020
Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions
Ashish Rauniyar , Desta Haileselassie Hagos , Debesh Jha , Jan Erik Håkegård
arXiv preprint arXiv:2208.03392
2
2022
Domain generalization with correlated style uncertainty
Zheyuan Zhang , Bin Wang , Debesh Jha , Ugur Demir
arXiv preprint arXiv:2212.09950
2022
Pål Halvorsen Michael Alexander Riegler Dag Johansen Ulas Bagci Nikhil Kumar Tomar Thomas de Lange Sharib Ali Steven Hicks Vajira Thambawita Goo-Rak Kwon Rittscher Jens Ashish Rauniyar Zheyuan Zhang Desta Haileselassie Hagos Daniela Ladner, MD, MPH Amir Borhani Deng-Ping Fan (范登平) Ling Shao, Fellow of IEEE/IAPR Mohamed Abazeed Håvard Dagenborg