Thomas de Lange

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 48

Top Topics

Grand Challenge

Medical Doctors

Polyp Detection

Top Venues

Publications

Steven Hicks, Andrea M. Storås, Pål Halvorsen, Thomas de Lange, Michael Riegler, Vajira Thambawita
Overview of ImageCLEFmedical 2023 - Medical Visual Question Answering for Gastrointestinal Tract. CLEF (Working Notes) (2023)
Flor Helena Valencia, Daniel Flores-Araiza, Obed Cerda, Venkataraman Subramanian, Thomas de Lange, Gilberto Ochoa-Ruiz, Sharib Ali
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis. CaPTion@MICCAI (2023)
Pia Helen Smedsrud, Håvard Espeland, Tor Jan Derek Berstad, Andreas Petlund, Thomas de Lange, Michael A. Riegler, Pål Halvorsen
Man vs. AI: An in silico study of polyp detection performance. CBMS (2023)
Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. CoRR (2023)
Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD (2023)
Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Adrian Popescu, Ahmad Idrissi-Yaghir, Alba García Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Christoph M. Friedrich, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ihar Filipovich, Ioan Coman, Jérôme Deshayes, Johanna Schöler, Johannes Rückert, Liviu-Daniel Stefan, Louise Bloch, Meliha Yetisgen, Michael A. Riegler, Mihai Dogariu, Mihai Gabriel Constantin, Neal Snider, Nikolaos Papachrysos, Pål Halvorsen, Raphael Brüngel, Serge Kozlovski, Steven Hicks, Thomas de Lange, Vajira Thambawita, Vassili Kovalev, Wen-wai Yim
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. ECIR (3) (2023)
Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR (2023)
Steven Hicks, Andrea M. Storås, Michael Riegler, Cise Midoglu, Malek Hammou, Thomas de Lange, Sravanthi Parasa, Pål Halvorsen, Inga Strümke
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations. CoRR (2022)
Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR (2022)
Jan Andre Fagereng, Vajira Thambawita, Andrea M. Storås, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. CoRR (2022)
Jan Andre Fagereng, Vajira Thambawita, Andrea M. Storås, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. CBMS (2022)
Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. MMM (2) (2021)
Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical Image Anal. 70 (2021)
Steven Hicks, Debesh Jha, Vajira Thambawita, Hugo Hammer, Thomas de Lange, Sravanthi Parasa, Michael Riegler, Pål Halvorsen
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. MediaEval (2021)
Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CBMS (2021)
Sharib Ali, Debesh Jha, Noha M. Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Kim V. Anonsen, Michael A. Riegler, Pål Halvorsen, Jens Rittscher, Thomas de Lange, James E. East
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. CoRR (2021)
Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation. CoRR (2021)
Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CoRR (2021)
Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven Alexander Hicks, Hugo Lewi Hammer, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler
SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. CoRR (2021)
Debesh Jha, Steven Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. MediaEval (2020)
Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy. CoRR (2020)
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen
Kvasir-SEG: A Segmented Polyp Dataset. MMM (2) (2020)
Debesh Jha, Steven Alexander Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. CoRR (2020)
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen
Kvasir-SEG: A Segmented Polyp Dataset. CoRR (2019)
Steven Alexander Hicks, Michael Riegler, Pia H. Smedsrud, Trine B. Haugen, Kristin Ranheim Randel, Konstantin Pogorelov, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Mathias Lux, Andreas Petlund, Thomas de Lange, Peter Thelin Schmidt, Pål Halvorsen
ACM Multimedia BioMedia 2019 Grand Challenge Overview. ACM Multimedia (2019)
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen
ResUNet++: An Advanced Architecture for Medical Image Segmentation. CoRR (2019)
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen
ResUNet++: An Advanced Architecture for Medical Image Segmentation. ISM (2019)
Steven Alexander Hicks, Konstantin Pogorelov, Thomas de Lange, Mathias Lux, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen, Michael Riegler
Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis. MMSys (2018)
Tor Jan Derek Berstad, Michael Riegler, Håvard Espeland, Thomas de Lange, Pia Helen Smedsrud, Konstantin Pogorelov, Håkon Kvale Stensland, Pål Halvorsen
Tradeoffs Using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection. ISM (2018)
Konstantin Pogorelov, Olga Ostroukhova, Mattis Jeppsson, Håvard Espeland, Carsten Griwodz, Thomas de Lange, Dag Johansen, Michael Riegler, Pål Halvorsen
Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos. CBMS (2018)
Steven Alexander Hicks, Michael Riegler, Konstantin Pogorelov, Kim V. Anonsen, Thomas de Lange, Dag Johansen, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen
Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding. CBMS (2018)
Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange, Håvard Nygaard Espeland, Tomas Kupka, Carsten Griwodz, Michael Riegler
Deep learning and handcrafted feature based approaches for automatic detection of angiectasia. BHI (2018)
Steven Alexander Hicks, Sigrun Losada Eskeland, Mathias Lux, Thomas de Lange, Kristin Ranheim Randel, Mattis Jeppsson, Konstantin Pogorelov, Pål Halvorsen, Michael Riegler
Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain. MMSys (2018)
Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Steven Alexander Hicks, Kristin Ranheim Randel, Duc-Tien Dang-Nguyen, Mathias Lux, Olga Ostroukhova, Thomas de Lange
Medico Multimedia Task at MediaEval 2018. MediaEval (2018)
Konstantin Pogorelov, Kristin Ranheim Randel, Thomas de Lange, Sigrun Losada Eskeland, Carsten Griwodz, Dag Johansen, Concetto Spampinato, Mario Taschwer, Mathias Lux, Peter Thelin Schmidt, Michael Riegler, Pål Halvorsen
Nerthus: A Bowel Preparation Quality Video Dataset. MMSys (2017)
Konstantin Pogorelov, Sigrun Losada Eskeland, Thomas de Lange, Carsten Griwodz, Kristin Ranheim Randel, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Concetto Spampinato, Dag Johansen, Michael Riegler, Pål Halvorsen
A Holistic Multimedia System for Gastrointestinal Tract Disease Detection. MMSys (2017)
Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange
Multimedia for Medicine: The Medico Task at MediaEval 2017. MediaEval (2017)
Michael Riegler, Konstantin Pogorelov, Sigrun Losada Eskeland, Peter Thelin Schmidt, Zeno Albisser, Dag Johansen, Carsten Griwodz, Pål Halvorsen, Thomas de Lange
From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System. ACM Trans. Multim. Comput. Commun. Appl. 13 (3) (2017)
Konstantin Pogorelov, Kristin Ranheim Randel, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Concetto Spampinato, Duc-Tien Dang-Nguyen, Mathias Lux, Peter Thelin Schmidt, Michael Riegler, Pål Halvorsen
KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection. MMSys (2017)
Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Olga Ostroukhova, Mathias Lux, Concetto Spampinato
A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection. MediaEval (2017)
Konstantin Pogorelov, Michael Riegler, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Carsten Griwodz, Peter Thelin Schmidt, Pål Halvorsen
Efficient disease detection in gastrointestinal videos - global features versus neural networks. Multim. Tools Appl. 76 (21) (2017)
Michael Riegler, Konstantin Pogorelov, Jonas Markussen, Mathias Lux, Håkon Kvale Stensland, Thomas de Lange, Carsten Griwodz, Pål Halvorsen, Dag Johansen, Peter Thelin Schmidt, Sigrun Losada Eskeland
Computer aided disease detection system for gastrointestinal examinations. MMSys (2016)
Michael Riegler, Konstantin Pogorelov, Mathias Lux, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Sigrun Losada Eskeland
Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery. CBMI (2016)
Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Thomas de Lange, Carsten Griwodz, Peter Thelin Schmidt, Sigrun Losada Eskeland, Dag Johansen
EIR - Efficient computer aided diagnosis framework for gastrointestinal endoscopies. CBMI (2016)
Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Peter Thelin Schmidt, Carsten Griwodz, Dag Johansen, Sigrun Losada Eskeland, Thomas de Lange
GPU-Accelerated Real-Time Gastrointestinal Diseases Detection. CBMS (2016)
Konstantin Pogorelov, Michael Riegler, Jonas Markussen, Håkon Kvale Stensland, Pål Halvorsen, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange
Efficient processing of videos in a multi-auditory environment using device lending of GPUs. MMSys (2016)
Michael Riegler, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange, Sigrun Losada Eskeland, Konstantin Pogorelov, Wallapak Tavanapong, Peter Thelin Schmidt, Cathal Gurrin, Dag Johansen, Håvard D. Johansen, Pål Halvorsen
Multimedia and Medicine: Teammates for Better Disease Detection and Survival. ACM Multimedia (2016)