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2020 – today
- 2022
[j49]Rabindra Khadka, Debesh Jha
, Steven Hicks, Vajira Thambawita, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation. Comput. Biol. Medicine 143: 105227 (2022)- [j48]Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 26(5): 2252-2263 (2022) - [c216]Cise Midoglu, Mariana Avelino, Shri Hari Gopalakrishnan, Stefan Pham, Pål Halvorsen:
Multimedia streaming analytics: quo vadis? MHV 2022: 62-69 - [i35]Cise Midoglu, Steven Alexander Hicks, Vajira Thambawita, Tomas Kupka, Pål Halvorsen:
MMSys'22 Grand Challenge on AI-based Video Production for Soccer. CoRR abs/2202.01031 (2022) - [i34]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 abs/2202.12031 (2022) - [i33]Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Thanh-Binh Nguyen, Pål Halvorsen, Michael Riegler:
Parallel feature selection based on the trace ratio criterion. CoRR abs/2203.01635 (2022) - [i32]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 abs/2204.00617 (2022) - 2021
- [j47]Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen:
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access 9: 40496-40510 (2021) - [j46]Olav A. Norgård Rongved, Steven Alexander Hicks, Vajira Thambawita, Håkon Kvale Stensland, Evi Zouganeli, Dag Johansen, Cise Midoglu, Michael A. Riegler, Pål Halvorsen:
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events. Int. J. Semantic Comput. 15(2): 161-187 (2021) - [j45]Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Håvard Dagenborg Johansen, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen:
File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments. Inf. 12(10): 430 (2021) - [j44]Joakim Olav Valand, Haris Kadragic, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen:
AI-Based Video Clipping of Soccer Events. Mach. Learn. Knowl. Extr. 3(4): 990-1008 (2021) - [j43]Olav A. Norgård Rongved, Markus Stige, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen:
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities. Mach. Learn. Knowl. Extr. 3(4): 1030-1054 (2021) - [j42]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein:
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70: 101920 (2021) - [j41]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: 102007 (2021) - [j40]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): 2029-2040 (2021) - [j39]Jonas Markussen, Lars Bjørlykke Kristiansen, Pål Halvorsen, Halvor Kielland-Gyrud, Håkon Kvale Stensland, Carsten Griwodz:
SmartIO: Zero-overhead Device Sharing through PCIe Networking. ACM Trans. Comput. Syst. 38(1-2): 2:1-2:78 (2021) - [c215]Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. BHI 2021: 1-4 - [c214]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: 37-43 - [c213]Matthias Boeker, Michael A. Riegler, Hugo Lewi Hammer, Pål Halvorsen, Ole Bernt Fasmer, Petter Jakobsen:
Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. CBMS 2021: 432-437 - [c212]Henrik L. Gjestang, Steven Alexander Hicks, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler:
A self-learning teacher-student framework for gastrointestinal image classification. CBMS 2021: 539-544 - [c211]Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
DivergentNets:Medical Image Segmentation by Network Ensemble. EndoCV@ISBI 2021: 27-38 - [c210]Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali:
Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. EndoCV@ISBI 2021: 49-58 - [c209]Joakim O. Valand, Haris Kadragic, Steven Hicks, Vajira Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
Automated Clipping of Soccer Events using Machine Learning. ISM 2021: 210-214 - [c208]Gunn Astrid Baugerud, Miriam S. Johnson, Ragnhild Klingenberg Røed, Michael E. Lamb, Martine Powell, Vajira Thambawita, Steven Alexander Hicks, Pegah Salehi, Syed Zohaib Hassan, Pål Halvorsen, Michael A. Riegler:
Multimodal Virtual Avatars for Investigative Interviews with Children. ICDAR@ICMR 2021: 2-8 - [c207]Espen Naess, Vajira Thambawita, Steven Alexander Hicks, Michael A. Riegler, Pål Halvorsen:
Pyramidal Segmentation of Medical Images using Adversarial Training. ICDAR@ICMR 2021: 33-38 - [c206]Tor-Arne S. Nordmo, Aril B. Ovesen, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen, Dag Johansen:
Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner. ICDAR@ICMR 2021: 57-61 - [c205]Enrique Garcia-Ceja, Vajira Thambawita, Steven Alexander Hicks, Debesh Jha, Petter Jakobsen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler:
HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. MMM (2) 2021: 196-205 - [c204]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: 218-229 - [e4]Sharib Ali, Noha M. Ghatwary, Debesh Jha, Pål Halvorsen:
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), Nice, France, April 13, 2021. CEUR Workshop Proceedings 2886, CEUR-WS.org 2021 [contents] - [i31]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. CoRR abs/2101.02268 (2021) - [i30]Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. CoRR abs/2103.17235 (2021) - [i29]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 abs/2104.11138 (2021) - [i28]Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. CoRR abs/2105.07451 (2021) - [i27]Rabindra Khadga, Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen:
Few-shot segmentation of medical images based on meta-learning with implicit gradients. CoRR abs/2106.03223 (2021) - [i26]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 abs/2106.04463 (2021) - [i25]Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
DivergentNets: Medical Image Segmentation by Network Ensemble. CoRR abs/2107.00283 (2021) - [i24]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 abs/2107.00471 (2021) - [i23]Debesh Jha, Sharib Ali, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. CoRR abs/2107.02319 (2021) - [i22]Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Michael Alexander Riegler, Pål Halvorsen, Matthias Nießner, Balu Adsumilli, Chris Bregler:
MMSys'21 Grand Challenge on Detecting Cheapfakes. CoRR abs/2107.05297 (2021) - [i21]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 abs/2107.12435 (2021) - [i20]Andrea M. Storås, Inga Strümke, Michael A. Riegler, Jakob Grauslund, Hugo Lewi Hammer, Anis Yazidi, Pål Halvorsen, Kjell G. Gundersen, Tor P. Utheim, Catherine Jackson:
Artificial Intelligence in Dry Eye Disease. CoRR abs/2109.01658 (2021) - [i19]Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi, Chris Walsh, Chinedu Innocent Nwoye, Deepak Alapatt, Nicolas Padoy, Zhen-Liang Ni, Chen-Chen Fan, Gui-Bin Bian, Zeng-Guang Hou, Heonjin Ha, Jiacheng Wang, Haojie Wang, Dong Guo, Lu Wang, Guotai Wang, Mobarakol Islam, Bharat Giddwani, Hongliang Ren, Theodoros Pissas, Claudio S. Ravasio, Martin Huber, Jeremy Birch, Joan M. Nunez Do Rio, Lyndon Da Cruz, Christos Bergeles, Hongyu Chen, Fucang Jia, Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Sophia Bano, Uddhav Vaghela, Jianyuan Hong, Haili Ye, Feihong Huang, Da-Han Wang, Danail Stoyanov:
2020 CATARACTS Semantic Segmentation Challenge. CoRR abs/2110.10965 (2021) - [i18]Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Dag Johansen, Umapada Pal:
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. CoRR abs/2111.10618 (2021) - [i17]Syed Zohaib Hassan, Kashif Ahmad, Michael A. Riegler, Steven Hicks, Nicola Conci, Pål Halvorsen, Ala I. Al-Fuqaha:
Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021. CoRR abs/2111.11471 (2021) - 2020
- [j38]Jonas Markussen, Lars Bjørlykke Kristiansen, Rune Johan Borgli, Håkon Kvale Stensland, Friedrich Seifert, Michael Riegler, Carsten Griwodz, Pål Halvorsen:
Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending. Clust. Comput. 23(2): 1211-1234 (2020) - [j37]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. ACM Trans. Comput. Heal. 1(3): 17:1-17:29 (2020) - [c203]Petter Jakobsen, Enrique Garcia-Ceja, Lena Antonsen Stabell, Ketil J. Oedegaard, Jan Oystein Berle, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Ole Bernt Fasmer, Michael Alexander Riegler:
PSYKOSE: A Motor Activity Database of Patients with Schizophrenia. CBMS 2020: 303-308 - [c202]Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CBMS 2020: 558-564 - [c201]Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Dina Demner-Fushman, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Duc-Tien Dang-Nguyen, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Dimitri Fichou, Raul Berari, Paul Brie, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin:
Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. CLEF 2020: 311-341 - [c200]Tu-Khiem Le, Van-Tu Ninh, Liting Zhou, Minh-Huy Nguyen-Ngoc, Huu-Duc Trinh, Nguyen-Hien Tran, Luca Piras, Michael Riegler, Pål Halvorsen, Mathias Lux, Minh-Triet Tran, Graham Healy, Cathal Gurrin, Duc-Tien Dang-Nguyen:
Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data. CLEF (Working Notes) 2020 - [c199]Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Mathias Lux, Minh-Triet Tran, Cathal Gurrin, Duc-Tien Dang-Nguyen:
Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog. CLEF (Working Notes) 2020 - [c198]Bogdan Ionescu, Henning Müller, Renaud Péteri, Duc-Tien Dang-Nguyen, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Alba Garcia Seco de Herrera, Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M. Friedrich, Yashin Dicente Cid, Serge Kozlovski, Vitali Liauchuk, Vassili Kovalev, Raul Berari, Paul Brie, Dimitri Fichou, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin:
ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. ECIR (2) 2020: 533-541 - [c197]Håvard D. Johansen, Dag Johansen, Tomas Kupka, Michael A. Riegler, Pål Halvorsen:
Scalable Infrastructure for Efficient Real-Time Sports Analytics. ICMI Companion 2020: 230-234 - [c196]Steven Alexander Hicks, Debesh Jha, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Michael A. Riegler:
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. ICPR Workshops (8) 2020: 263-274 - [c195]Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. ICPR Workshops (8) 2020: 307-314 - [c194]Oda Olsen Nedrejord, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Vid2Pix - A Framework for Generating High-Quality Synthetic Videos. ISM 2020: 25-26 - [c193]Olav A. Norgård Rongved, Steven Alexander Hicks, Vajira Thambawita, Håkon Kvale Stensland, Evi Zouganeli, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks. ISM 2020: 135-144 - [c192]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 - [c191]Vajira Thambawita, Steven Hicks, Pål Halvorsen, Michael A. Riegler:
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus. MediaEval 2020 - [c190]Steven Alexander Hicks, Vajira Thambawita, Hugo Lewi Hammer, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Pål Halvorsen, Michael A. Riegler:
ACM Multimedia BioMedia 2020 Grand Challenge Overview. ACM Multimedia 2020: 4655-4658 - [c189]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: 451-462 - [c188]Vajira Thambawita, Steven Alexander Hicks, Hanna Borgli, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen, Svein Arne Pettersen, Dag Johansen, Håvard Dagenborg Johansen, Susann Dahl Pettersen, Simon Nordvang, Sigurd Pedersen, Anders T. Gjerdrum, Tor-Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc-Tien Dang-Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh C. Jain, Michael Alexander Riegler, Pål Halvorsen:
PMData: a sports logging dataset. MMSys 2020: 231-236 - [c187]Henrik Svoren, Vajira Thambawita, Pål Halvorsen, Petter Jakobsen, Enrique Garcia-Ceja, Farzan Majeed Noori, Hugo Lewi Hammer, Mathias Lux, Michael Alexander Riegler, Steven Alexander Hicks:
Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. MMSys 2020: 309-314 - [c186]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. PDCAT 2020: 285-296 - [i16]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i15]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification. CoRR abs/2005.03912 (2020) - [i14]Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CoRR abs/2006.04868 (2020) - [i13]Syed Zohaib Hassan, Kashif Ahmad, Steven Alexander Hicks, Pål Halvorsen, Ala I. Al-Fuqaha, Nicola Conci, Michael Riegler:
Visual Sentiment Analysis from Disaster Images in Social Media. CoRR abs/2009.03051 (2020) - [i12]Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag D. Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen:
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. CoRR abs/2011.07631 (2020) - [i11]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 abs/2011.08065 (2020) - [i10]Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus. CoRR abs/2012.07430 (2020) - [i9]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 abs/2012.15244 (2020) - [i8]Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. CoRR abs/2012.15245 (2020)
2010 – 2019
- 2019
- [j36]Mattis Jeppsson, Håvard Nygaard Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Dag Johansen, Konstantin Pogorelov, Håkon Kvale Stensland, Carsten Griwodz, Michael Riegler, Pål Halvorsen:
Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming. Int. J. Semantic Comput. 13(3): 367-391 (2019) - [j35]Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Nicola Conci, Pål Halvorsen:
Social media and satellites - Disaster event detection, linking and summarization. Multim. Tools Appl. 78(3): 2837-2875 (2019) - [j34]Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Olga Ostroukhova, Pål Halvorsen, Nicola Conci, Rozenn Dahyot:
Automatic detection of passable roads after floods in remote sensed and social media data. Signal Process. Image Commun. 74: 110-118 (2019) - [c185]Kim Andreassen, Dag Johansen, Håvard D. Johansen, Ivan Baptista, Svein Arne Pettersen, Michael Riegler, Pål Halvorsen:
Real-time Analysis of Physical Performance Parameters in Elite Soccer. CBMI 2019: 1-6 - [c184]Rune Johan Borgli, Håkon Kvale Stensland, Pål Halvorsen, Michael Alexander Riegler:
Saga: An Open Source Platform for Training Machine Learning Models and Community-driven Sharing of Techniques. CBMI 2019: 1-4 - [c183]Aanund Jupskås Nordskog, Pål Halvorsen, Steven Alexander Hicks, Håkon Kvale Stensland, Hugo Lewi Hammer, Dag Johansen, Michael A. Riegler:
Semantic Analysis of Soccer News for Automatic Game Event Classification. CBMI 2019: 1-6 - [c182]Vajira Thambawita, Hugo Lewi Hammer, Michael Riegler, Pål Halvorsen:
GANEx: A complete pipeline of training, inference and benchmarking GAN experiments. CBMI 2019: 1-4 - [c181]Theodor Wiik, Håvard D. Johansen, Svein Arne Pettersen, Ivan Baptista, Tomas Kupka, Dag Johansen, Michael Riegler, Pål Halvorsen:
Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks. CBMI 2019: 1-6 - [c180]Fredrik Lund Henriksen, Rune Jensen, Håkon Kvale Stensland, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen:
Performance of Data Enhancements and Training Optimization for Neural Network: A Polyp Detection Case Study. CBMS 2019: 287-293 - [c179]Edvarda Eriksen, Steven Alexander Hicks, Michael Alexander Riegler, Pål Halvorsen, Valentina Carapella:
A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI. ISM 2019: 216-220 - [c178]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: 225-230 - [c177]Rune Johan Borgli, Håkon Kvale Stensland, Michael Alexander Riegler, Pål Halvorsen:
Automatic Hyperparameter Optimization for Transfer Learning on Medical Image Datasets Using Bayesian Optimization. ISMICT 2019: 1-6 - [c176]Mathias Kirkerød, Rune Johan Borgli, Vajira Thambawita, Steven Alexander Hicks, Michael Alexander Riegler, Pål Halvorsen:
Unsupervised preprocessing to improve generalisation for medical image classification. ISMICT 2019: 1-6 - [c175]Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler:
Medico Multimedia Task at MediaEval 2019. MediaEval 2019 - [c174]Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler:
Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. MediaEval 2019 - [c173]Steven Alexander Hicks, Trine B. Haugen, Pål Halvorsen, Michael Riegler:
Using Deep Learning to Predict Motility and Morphology of Human Sperm. MediaEval 2019 - [c172]Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Johanna Pirker, Martin Potthast, Pål Halvorsen:
GameStory Task at MediaEval 2019. MediaEval 2019 - [c171]Jon-Magnus Rosenblad, Steven Alexander Hicks, Håkon Kvale Stensland, Trine B. Haugen, Pål Halvorsen, Michael Riegler:
Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality. MediaEval 2019 - [c170]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology. MediaEval 2019 - [c169]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis. MediaEval 2019 - [c168]Joakim Ihle Frogner, Farzan Majeed Noori, Pål Halvorsen, Steven Alexander Hicks, Enrique Garcia-Ceja, Jim Tørresen, Michael Alexander Riegler:
One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. HealthMedia@MM 2019: 9-15 - [c167]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: 2563-2567 - [c166]Pål Halvorsen, Michael Alexander Riegler, Klaus Schoeffmann:
Medical Multimedia Systems and Applications. ACM Multimedia 2019: 2711-2713 - [c165]Mathias Lux, Pål Halvorsen, Duc-Tien Dang-Nguyen, Håkon Kvale Stensland, Manoj Kesavulu, Martin Potthast, Michael Riegler:
Summarizing E-sports matches and tournaments: the example of counter-strike: global offensive. MMVE@MMSys 2019: 13-18 - [c164]Trine B. Haugen, Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Hugo Lewi Hammer, Rune Johan Borgli, Pål Halvorsen, Michael Riegler:
VISEM: a multimodal video dataset of human spermatozoa. MMSys 2019: 261-266 - [p3]Luca Piras, Barbara Caputo, Duc-Tien Dang-Nguyen, Michael Riegler, Pål Halvorsen:
Image Retrieval Evaluation in Specific Domains. Information Retrieval Evaluation in a Changing World 2019: 275-305 - [i7]Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Olga Ostroukhova, Pål Halvorsen, Nicola Conci, Rozenn Dahyot:
Automatic detection of passable roads after floods in remote sensed and social media data. CoRR abs/1901.03298 (2019) - [i6]Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Trine B. Haugen, Michael A. Riegler:
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction. CoRR abs/1910.13327 (2019) - [i5]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked dense optical flows and dropout layers to predict sperm motility and morphology. CoRR abs/1911.03086 (2019) - [i4]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis. CoRR abs/1911.03100 (2019) - [i3]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 abs/1911.07067 (2019) - [i2]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 abs/1911.07069 (2019) - 2018
- [j33]Mohammad Soleymani, Michael Riegler, Pål Halvorsen:
Multimodal analysis of user behavior and browsed content under different image search intents. Int. J. Multim. Inf. Retr. 7(1): 29-41 (2018) - [c163]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: 365-368 - [c162]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: 363-368 - [c161]