Dag Johansen

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 106

Top Venues

Publications

Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen
Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes. MMM (3) (2024)
Pegah Salehi, Syed Zohaib Hassan, Gunn Astrid Baugerud, Martine B. Powell, M. Cayetana López Cano, Miriam S. Johnson, Ragnhild Klingenberg Røed, Dag Johansen, Saeed Shafiee Sabet, Michael A. Riegler, Pål Halvorsen
Immersive Virtual Reality in Child Interview Skills Training: A Comparison of 2D and 3D Environments. MMVE@MMSys (2024)
Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Dag Johansen, Michael A. Riegler, Pål Halvorsen
AI-Based Cropping of Soccer Videos for Different Social Media Representations. MMM (4) (2024)
Enrico Tedeschi, Øyvind Arne Moen Nohr, Håvard D. Johansen, Dag Johansen
Mining Profitability in Bitcoin: Calculations of User-Miner Equilibria and Cost of Mining. DAIS (2024)
Mohammad Majidi, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Dag Johansen, Pål Halvorsen
SmartCrop-H: AI-Based Cropping of Ice Hockey Videos. MMSys (2024)
Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Dag Johansen
Compliant multimedia storage and data extraction from the untrusted and privacy-sensitive edge. MCNA (2023)
Bjørn Aslak Juliussen, Jon Petter Rui, Dag Johansen
Algorithms that forget: Machine unlearning and the right to erasure. Comput. Law Secur. Rev. 51 (2023)
Michael A. Riegler, Vajira Thambawita, Ayan Chatterjee, Binh T. Nguyen, Steven Alexander Hicks, Vibeke Telle-Hansen, Svein Arne Pettersen, Dag Johansen, Ramesh C. Jain, Pål Halvorsen
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset. MMM (1) (2023)
Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard D. Johansen
Capturing Nutrition Data for Sports: Challenges and Ethical Issues. MMM (1) (2023)
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. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Bjørn Aslak Juliussen, Jon Petter Rui, Dag Johansen
Developing with Compliance in Mind: Addressing Data Protection Law, Cybersecurity Regulation, and AI Regulation During Software Development. Privacy and Identity Management (2023)
Tor-Arne S. Nordmo, Michael A. Riegler, Håvard D. Johansen, Dag Johansen
Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers. MMM (1) (2023)
Bjørn Aslak Juliussen, Jon Petter Rui, Dag Johansen
Sport and Nutrition Digital Analysis: A Legal Assessment. MMM (1) (2023)
Sayed Mohammad Majidi Dorcheh, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Michael A. Riegler, Dag Johansen, Pål Halvorsen
SmartCrop: AI-Based Cropping of Soccer Videos. ISM (2023)
Tor-Arne S. Nordmo, Aril B. Ovesen, Håvard D. Johansen, Dag Johansen, Michael Riegler
NjordVid: A Fishing Trawler Video Analytics Task. MediaEval (2022)
Enrico Tedeschi, Tor-Arne S. Nordmo, Dag Johansen, Håvard D. Johansen
On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern. ACM Trans. Internet Techn. 22 (3) (2022)
Andreas Husa, Cise Midoglu, Malek Hammou, Steven Alexander Hicks, Dag Johansen, Tomas Kupka, Michael A. Riegler, Pål Halvorsen
Automatic thumbnail selection for soccer videos using machine learning. MMSys (2022)
Joakim Aalstad Alslie, Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Håvard Dagenborg Johansen, Pål Halvorsen, Michael Alexander Riegler, Dag Johansen
Áika: A Distributed Edge System for AI Inference. Big Data Cogn. Comput. 6 (2) (2022)
Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci
Video Analytics in Elite Soccer: A Distributed Computing Perspective. SAM (2022)
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) (2022)
Birk Torpmann-Hagen, Pål Halvorsen, Michael Riegler, Dag Johansen
Addressing Generalization Failure in Deep Detection Models for Fishing Trawler Video Analytics. MediaEval (2022)
Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci
Video Analytics in Elite Soccer: A Distributed Computing Perspective. CoRR (2022)
Lars Brenna, Isak Sunde Singh, Håvard Dagenborg Johansen, Dag Johansen
TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments. Array 13 (2022)
Tor-Arne S. Nordmo, Martine Mostervik Espeseth, Bjørn Aslak Juliussen, Michael A. Riegler, Dag Johansen
Detection of Commercial Fishing-related Slipping Events using Multimodal Data. ISM (2022)
Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Bjørn Aslak Juliussen, Steven Alexander Hicks, Vajira Thambawita, Håvard Dagenborg Johansen, Pål Halvorsen, Michael Alexander Riegler, Dag Johansen
Njord: a fishing trawler dataset. MMSys (2022)
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 (2021)
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, 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)
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)
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)
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 (2021)
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)
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) (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)
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 (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)
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) (2021)
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 (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)
Aakash Sharma, Thomas Bye Nilsen, Katja Pauline Czerwinska, Daria Onitiu, Lars Brenna, Dag Johansen, Håvard D. Johansen
Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies. Frontiers Big Data 4 (2021)
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) (2021)
Aakash Sharma, Thomas Bye Nilsen, Sivert Johansen, Dag Johansen, Håvard D. Johansen
Designing a Service for Compliant Sharing of Sensitive Research Data. CRiSIS (2021)
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 (2021)
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 (2021)
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)
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) (2021)
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)
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)
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, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. PDCAT (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, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CBMS (2020)
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) (2020)
Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CoRR (2020)
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 Jain, Michael Alexander Riegler, Pål Halvorsen
PMData: a sports logging dataset. MMSys (2020)
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 (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)
Håvard D. Johansen, Dag Johansen, Tomas Kupka, Michael A. Riegler, Pål Halvorsen
Scalable Infrastructure for Efficient Real-Time Sports Analytics. ICMI Companion (2020)
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 (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)
Enrico Tedeschi, Tor-Arne S. Nordmo, Dag Johansen, Håvard D. Johansen
Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains. IEEE BigData (2019)
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)
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)
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)
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) (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)
Anders Tungeland Gjerdrum, Håvard Dagenborg Johansen, Lars Brenna, Dag Johansen
Diggi: A Secure Framework for Hosting Native Cloud Functions with Minimal Trust. TPS-ISA (2019)
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)
Lars Brenna, Håvard D. Johansen, Dag Johansen
A Survey of Automatic Methods for Nutritional Assessment. CoRR (2019)
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)
Enrico Tedeschi, Håvard D. Johansen, Dag Johansen
Trading Network Performance for Cash in the Bitcoin Blockchain. CLOSER (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)
Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. MediaEval (2018)
Konstantin Pogorelov, Zeno Albisser, Olga Ostroukhova, Mathias Lux, Dag Johansen, Pål Halvorsen, Michael Riegler
Opensea: open search based classification tool. MMSys (2018)
Mattis Jeppsson, Håvard Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Konstantin Pogorelov, Michael Riegler, Dag Johansen, Carsten Griwodz, Pål Halvorsen
Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming. ISM (2018)
Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. CoRR (2018)
Eleanor Birrell, Anders T. Gjerdrum, Robbert van Renesse, Håvard D. Johansen, Dag Johansen, Fred B. Schneider
SGX Enforcement of Use-Based Privacy. WPES@CCS (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)
Anders T. Gjerdrum, Robert Pettersen, Håvard D. Johansen, Dag Johansen
Performance of Trusted Computing in Cloud Infrastructures with Intel SGX. CLOSER (2017)
Magnus Stenhaug, Håvard D. Johansen, Dag Johansen
Managing Personalized Cross-cloud Storage Systems with Meta-code. CLOSER (2017)
Robert Pettersen, Håvard D. Johansen, Dag Johansen
Secure Edge Computing with ARM TrustZone. IoTBDS (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)
Anders T. Gjerdrum, Robert Pettersen, Håvard D. Johansen, Dag Johansen
Performance Principles for Trusted Computing with Intel SGX. CLOSER (Selected Papers) (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)
Steffen Viken Valvåg, Robert Pettersen, Håvard D. Johansen, Dag Johansen
LADY: Dynamic Resolution of Assemblies for Extensible and Distributed .NET Applications. CLOSER (2) (2016)
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)
Magnus Stenhaug, Håvard D. Johansen, Dag Johansen
Transforming Healthcare through Life-Long Personal Digital Footprints. CHASE (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)
Anders T. Gjerdrum, Håvard D. Johansen, Dag Johansen
Implementing Informed Consent as Information-Flow Policies for Secure Analytics on eHealth Data: Principles and Practices. CHASE (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)
Robert Pettersen, Håvard D. Johansen, Steffen Viken Valvåg, Dag Johansen
Dynamically Loading Mobile/Cloud Assemblies. CLOSER (Selected Papers) (2016)
Håvard D. Johansen, Eleanor Birrell, Robbert van Renesse, Fred B. Schneider, Magnus Stenhaug, Dag Johansen
Enforcing Privacy Policies with Meta-Code. APSys (2015)
Robert Pettersen, Steffen Viken Valvåg, Åge Kvalnes, Dag Johansen
Cloud-side Execution of Database Queries for Mobile Applications. CLOSER (2015)
Vamsidhar Reddy Gaddam, Ragnar Langseth, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen, Dag Johansen
Scaling virtual camera services to a large number of users. MMSys (2015)
Åge Kvalnes, Dag Johansen, Robbert van Renesse, Fred B. Schneider, Steffen Viken Valvåg
Omni-Kernel: An Operating System Architecture for Pervasive Monitoring and Scheduling. IEEE Trans. Parallel Distributed Syst. 26 (10) (2015)

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Publication Activity (10 Years)

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Dag Johansen