Steven Hicks

A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen and M. Riegler

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics

V. Thambawita, S. Hicks, A. Storås, T. Nguyen, J. M. Andersen, O. Witczak, T. B. Haugen, H. L. Hammer, P. Halvorsen and M. Riegler

VISEM-Tracking, a human spermatozoa tracking dataset

Scientific Data

V. Thambawita, A. Storås, S. Hicks, P. Halvorsen and M. Riegler

MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning

Head and Neck Tumor Segmentation and Outcome Prediction: Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022

T. Nguyen, A. Storås, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

Multimedia datasets: challenges and future possibilities

International conference on multimedia modeling

A. K. Pishva, V. Thambawita, J. Torresen and S. Hicks

RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models

Computer-Based Medical Systems (CBMS): 2023

M. Riegler, V. Thambawita, A. Chatterjee, T. Nguyen, S. Hicks, V. Telle-Hansen, S. A. Pettersen, D. Johansen, R. Jain and P. Halvorsen

ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset

International Conference on Multimedia Modeling (MMM)

S. Hicks, V. Thambawita, A. Storås, T. B. Haugen, H. L. Hammer, P. Halvorsen, M. Riegler and M. H. Stensen

Automatic Tracking of the ICSI procedure using Deep Learning

Human Reproduction

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

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

On evaluation metrics for medical applications of artificial intelligence

Scientific Reports

V. Thambawita, S. Hicks, A. Storås, O. Witczak, J. M. Andersen, H. L. Hammer, P. Halvorsen, M. Riegler and H. B. Trine

Real-time deep learning based multi object tracking of spermatozoa in fresh samples

Human Reproduction

V. Thambawita, P. Salehi, S. A. Sheshkal, S. Hicks, H. L. Hammer, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler

SinGAN-Seg: Synthetic training data generation for medical image segmentation

PLOS ONE

P. Salehi, S. Z. Hassan, M. Lammerse, S. S. Sabet, I. Riiser, R. K. Røed, M. S. Johnson, V. Thambawita, S. Hicks, M. Powell, M. E. Lamb, G. A. Baugerud, P. Halvorsen and M. Riegler

Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children

Big Data and Cognitive Computing

S. Z. Hassan, K. Ahmad, S. Hicks, P. Halvorsen, A. Al-Fuqaha, N. Conci and M. Riegler

Visual Sentiment Analysis from Disaster Images in Social Media

Sensors

A. Husa, C. Midoglu, M. Hammou, S. Hicks, D. Johansen, T. Kupka, M. Riegler and P. Halvorsen

Automatic Thumbnail Selection for Soccer Videos using Machine Learning

Proceedings of the 13th ACM Multimedia Systems Conference (MMSys '22)

A. Storås, M. Riegler, T. B. Haugen, V. Thambawita, S. Hicks, H. L. Hammer, R. Kakulavarapu, P. Halvorsen and M. Stensen

Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure

NAIS: Symposium of the Norwegian AI Society

F. Jacobsen, S. Hicks, P. Halvorsen and M. Riegler

Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation

2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)

C. Midoglu, A. Storås, S. S. Sabet, M. Hammou, S. Hicks, I. Strümke, M. Riegler, C. Griwodz and P. Halvorsen

Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework

2022 IEEE International Symposium on Multimedia (ISM)

M. Hammou, C. Midoglu, S. Hicks, A. Storås, S. S. Sabet, I. Strümke, M. Riegler and P. Halvorsen

Huldra: A Framework for Collecting Crowdsourced Feedback on Multimedia Assets

Proceedings of the 13th ACM Multimedia Systems Conference (MMSys '22)

V. Thambawita, S. Hicks, A. Storås, J. M. Andersen, O. Witczak, T. B. Haugen, H. L. Hammer, T. Nguyen, P. Halvorsen and M. Riegler

Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa

MediaEval 2022

T. S. Nordmo, A. B. Ovesen, B. A. Juliussen, S. Hicks, V. Thambawita, H. D. Johansen, P. Halvorsen, M. Riegler and D. Johansen

Njord: a fishing trawler dataset

Proceedings of the 13th ACM Multimedia Systems Conference (MMSYS)

A. H. M. Ahmed, M. Riegler, S. Hicks and A. Elmokashfi

RCAD:Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

V. Thambawita, S. Hicks, E. Jaouen, P. Halvorsen and M. Riegler

Smittestopp analytics: Analysis of position data

Smittestopp − A Case Study on Digital Contact Tracing

S. Hicks

Transparency in Medical Artificial Intelligence

Oslo Metropolitan University

C. Midoglu, S. Hicks, V. Thambawita, T. Kupka and P. Halvorsen

MMSys'22 Grand Challenge on AI-based Video Production for Soccer

S. Hicks, A. Storås, M. Riegler, C. Midoglu, M. Hammou, T. de Lange, S. Parasa, P. Halvorsen and I. Strümke

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations

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

J. O. Valand, H. Kadragic, S. Hicks, V. Thambawita, C. Midoglu, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen

AI-Based Video Clipping of Soccer Events

Machine Learning and Knowledge Extraction

M. Riegler, M. H. Stensen, O. Witczak, J. M. Andersen, S. Hicks, H. L. Hammer, E. Delbarre, P. Halvorsen, A. Yazidi, N. Holst and T. B. Haugen

Artificial intelligence in the fertility clinic: status, pitfalls and possibilities

Human Reproduction

O. A. N. Rongved, M. Stige, S. Hicks, V. Thambawita, C. Midoglu, E. Zouganeli, D. Johansen, M. Riegler and P. Halvorsen

Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities

Machine Learning and Knowledge Extraction

J. K. Kanters, S. Hicks, J. L. Isaksen, N. Grarup, N. H. Rathlou, J. Ghouse, G. Ahlberg, M. S. Olesen, A. Linneberg, C. Ellervik, P. Halvorsen and M. Riegler

Deep learning neural network can measure ECG intervals and amplitudes accurately

Journal of Electrocardiology

V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, I. Strümke, H. L. Hammer, M. Maleckar, P. Halvorsen, M. Riegler and J. K. Kanters

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Nature Scientific Reports

V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, I. Strümke, H. L. Hammer, M. Maleckar, P. Halvorsen, M. Riegler and J. K. Kanters

DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine

Scientific Reports

S. Hicks, J. L. Isaksen, V. Thambawita, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, I. Strümke, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, P. Halvorsen, M. Maleckar, M. Riegler and J. K. Kanters

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Scientific Reports

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

Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images

Diagnostics

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

A. H. M. Ahmed

Predicting High Delays in Mobile Broadband Networks

IEEE Access

H. Svennevik, M. Riegler, S. Hicks, T. Storelvmo and H. L. Hammer

Prediction of Cloud Fractional Cover Using Machine Learning

Big Data and Cognitive Computing

O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, C. Midoglu, M. Riegler and P. Halvorsen

Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events

International Journal of Semantic Computing

J. Valand, H. Kadragic, S. Hicks, V. Thambawita, C. Midoglu, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen

Automated Clipping of Soccer Events using Machine Learning

IEEE International Symphosium of Multimedia (ISM)

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

Data Augmentation Using Generative Adversarial Networks For Creating Realistic Artificial Colon Polyp Images

DDW 2021

V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen, H. L. Hammer, P. Halvorsen and M. Riegler

DeepSynthBody: the beginning of the end for data deficiency in medicine

The International Conference on Applied Artificial Intelligence (ICAPAI)

V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

DivergentNets: Medical Image Segmentation by Network Ensemble

EndoCV

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

S. Hicks, A. Stautland, O. B. Fasmer, W. Frøland, H. L. Hammer, P. Halvorsen, K. Mjeldheim, K. J. Oedegaard, B. Osnes, V. E. G. Syrstad, M. Riegler and P. Jakobsen

HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD)

Proceedings of the 12th ACM Multimedia Systems Conference (MMSys '21)

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

Impact of Image Resolution on Convolutional Neural Networks Performance in Gastrointestinal Endoscopy

DDW 2021

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

G. A. Baugerud, M. S. Johnson, R. K. Røed, M. E. Lamb, M. Powell, V. Thambawita, S. Hicks, P. Salehi, S. Z. Hassan, P. Halvorsen and M. Riegler

Multimodal Virtual Avatars for Investigative Interviews with Children

Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR '21)

H. T. Shen, Y. Zhuang, J. R. Smith, Y. Yang, P. Cesar, F. Metze, B. Prabhakaran, J. Korhonen, Y. Su, J. You, S. Hicks and C. Midoglu

Reproducibility Companion Paper: Blind Natural Video Quality Prediction via Statistical Temporal Features and Deep Spatial Features

Proceedings of the 29th ACM International Conference on Multimedia (MM '21)

H. T. Shen, Y. Zhuang, J. R. Smith, Y. Yang, P. Cesar, F. Metze, B. Prabhakaran, L. Tao, X. Wang, T. Yamasaki, J. Chen and S. Hicks

Reproducibility Companion Paper: Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework

Proceedings of the 29th ACM International Conference on Multimedia (MM '21)

N. P. P. TzavaraTzavara and B. Singstad

Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy Images

Nordic Machine Intelligence

S. Z. Hassan, K. Ahmad, M. Riegler, S. Hicks, N. Conci, P. Halvorsen and A. Al-Fuqaha

Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021

MediaEval 2021

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

Artificial Intelligence in Gastroenterology

Artificial Intelligence in Medicine

T. B. Haugen, S. Hicks, O. Witczak, J. M. Andersen, L. Bjørndal, M. Riegler and M. H. Stensen

Assessment of sperm motility according to WHO classification using convolutional neural networks

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

S. Hicks, V. Thambawita, H. L. Hammer, T. B. Haugen, J. M. Andersen, O. Witczak, P. Halvorsen and M. Riegler

ACM Multimedia BioMedia 2020 Grand Challenge Overview

Proceedings of the 28th ACM International Conference on Multimedia

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, 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

P. Jakobsen, E. Garcia-Ceja, L. A. Stabell, K. J. Oedegaard, J. O. Berle, V. Thambawita, S. Hicks, P. Halvorsen, O. B. Fasmer and M. Riegler

PSYKOSE: A Motor Activity Database of Patients with Schizophrenia

2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)

V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus

MediaEval 2020

O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, M. Riegler and P. Halvorsen

Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks

2020 IEEE International Symposium on Multimedia (ISM)

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)

H. Svoren, V. Thambawita, P. Halvorsen, P. Jakobsen, E. Garcia-Ceja, F. M. Noori, H. L. Hammer, M. Lux, M. Riegler and S. Hicks

Toadstool: A Dataset for Training Emotional IntelligentMachines Playing Super Mario Bros

The ACM Multimedia Systems Conference (MMSys)

O. O. Nedrejord, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

Vid2Pix - A Framework for Generating High-Quality Synthetic Videos

2020 IEEE International Symposium on Multimedia (ISM)

S. Hicks, T. B. Haugen, M. Iliceto, H. L. Hammer, J. M. Andersen, O. Witczak, M. Riegler and M. Stensen

Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos

M. Riegler, J. Andersen, M. Andersen, H. L. Hammer, S. Hicks, A. Hicks, W. Oliwia and T. Haugen

Artificial intelligence as a tool in predicting sperm motility and morphology: P-116

Human Reproduction

O. Witczak, J. Andersen, S. Hicks, H. L. Hammer, M. Riegler and T. Haugen

Artificial intelligence predicts sperm motility from sperm fatty acids: P-120

Human Reproduction

S. Hicks, P. H. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland, K. Pogorelov, P. T. Schmidt and P. Halvorsen

Deep Learning for Automatic Generation of Endoscopy Reports

Gastrointestinal Endoscopy

S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Nature Scientific Reports

E. R. Eriksen, S. Hicks, M. Riegler, P. Halvorsen and V. Carapella

A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI

2019 IEEE International Symposium on Multimedia (ISM)

S. Hicks, A. Petlund, T. de Lange, P. T. Schmidt, P. Halvorsen, M. Riegler, P. H. Smedsrud, T. B. Haugen, K. R. Randel, K. Pogorelov, H. K. Stensland, D. Dang-Nguyen and M. Lux

ACM Multimedia BioMedia 2019 Grand Challenge Overview

The ACM International Conference on Multimedia (ACM MM)

S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Medico Multimedia Task at MediaEval 2019

MediaEval

J. I. Frogner, F. M. Noori, P. Halvorsen, S. Hicks, E. Garcia-Ceja, J. Torresen and M. Riegler

One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression

Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care - HealthMedia '19

S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features

MediaEval

A. Nordskog, P. Halvorsen, S. Hicks, H. K. Stensland, H. L. Hammer, D. Johansen and M. Riegler

Semantic Analysis of Soccer News for Automatic Game Event Classification

2019 International Conference on Content-Based Multimedia Indexing (CBMI)

M. Kirkerød, R. Borgli, H. Borgli, V. Thambawita, S. Hicks, M. Riegler and P. Halvorsen

Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification

IEEE 13th International Symposium on Medical Information and Communication Technology (ISMICT)

J. Rosenblad, S. Hicks, H. K. Stensland, T. B. Haugen, P. Halvorsen and M. Riegler

Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality

MediaEval

S. Hicks, T. B. Haugen, P. Halvorsen and M. Riegler

Using Deep Learning to Predict Motility and Morphology of Human Sperm

MediaEval 2019

T. B. Haugen, S. Hicks, J. M. Andersen, O. Witczak, H. L. Hammer, R. Borgli, P. Halvorsen and M. Riegler

VISEM: a multimodal video dataset of human spermatozoa

Proceedings of the 10th ACM Multimedia Systems Conference

S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen and M. Riegler

Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis

Proceedings of the 9th ACM Multimedia Systems Conference

S. Hicks and P. H. Smedsrud

Deep Learning Based Disease Detection Using Domain Specific Transfer Learning

MediaEval 2018

S. Hicks, M. Riegler, K. Pogorelov, T. de Lange, K. R. Randel, K. V. Ånonsen, M. Jeppsson, P. Halvorsen and S. L. Eskeland

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

31st IEEE CBMS International Symposium on Computer-Based Medical Systems

K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange

Medico Multimedia Task at MediaEval 2018

Working Notes Proceedings of the MediaEval 2018 Workshop

S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler

Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain

Proceedings of the 9th ACM Multimedia Systems Conference