Steven Hicks

D. Jha, V. Sharma, D. Banik, D. Bhattacharya, K. Roy, S. Hicks, N. K. Tomar, V. Thambawita, A. Krenzer, G. Ji, S. Poudel, G. Batchkala, S. Alam, A. M. Ahmed, Q. Trinh, Z. Khan, T. Nguyen, S. Shrestha, S. Nathan, J. Gwak, R. K. Jha, Z. Zhang, A. Schlaefer, D. Bhattacharjee, M. Bhuyan, P. K. Das, D. Fan, S. Parasa, S. Ali, M. Riegler, P. Halvorsen, T. de Lange and U. Bagci

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges

Medical Image Analysis

A. Storås, S. Mæland, J. Isaksen, S. Hicks, V. Thambawita, C. Graff, H. L. Hammer, P. Halvorsen, M. Riegler and J. Kanters

Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps

JAMIA

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

PLOS One

G. A. Baugerud, M. S. Johnson, R. Dianiska, R. K. Røed, M. Powell, M. E. Lamb, S. Z. Hassan, S. S. Sabet, S. Hicks, P. Salehi, M. Riegler, P. Halvorsen and J. Quas

Using an AI-based avatar for interviewer training at Children’s Advocacy Centers: Proof of Concept

Child Maltreatment

C. Midoglu, A. K. Winther, M. Boeker, S. D. Pettersen, S. Pedersen, N. Ragab, T. Kupka, S. Hicks, M. B. Randers, R. Jain, H. J. Dagenborg, S. Pettersen, D. Johansen, M. Riegler and P. Halvorsen

A large-scale multivariate soccer athlete health, performance, and position monitoring dataset

Scientific Data (Sci Data)

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

A dataset for predicting cloud cover over Europe

Scientific Data

S. Ali, N. Ghatwary, D. Jha, E. Isik-Polat, G. Polat, C. Yang, W. Li, A. Galdran, M. G. Ballester, V. Thambawita, S. Hicks, S. Poudel, S. Lee, Z. Jin, T. Gan, C. Yu, J. Yan, D. Yeo, H. Lee, N. KumarTomar, M. Haithami, A. Ahmed, M. Riegler, C. Daul, P. Halvorsen, J. Rittscher, O. E. Salem, D. Lamarque, R. Cannizzaro, S. Realdon, T. de Lange and J. E. East

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

Scientific Reports

T. Do, M. A. Vu, H. T. Ly, T. Nguyen, S. Hicks, M. Riegler, P. Halvorsen and B. T. Nguyen

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction

International Joint Conference on Neural Networks

S. Hicks

Overview of ImageCLEFmedical 2024 – Medical Visual Question Answering for Gastrointestinal Tract

CLEF 2024 Conference and Labs of the Evaluation Forum

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

Overview of ImageCLEFmedical 2024 – Medical Visual Question Answering for Gastrointestinal Tract

CLEF 2024 Conference and Labs of the Evaluation Forum

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

Kvasir-VQA: A Text-Image Pair GI Tract Dataset

VLM4Bio'24: Proceedings of the First International Workshop on Vision-Language Models for Biomedical Applications

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

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

Encyclopedia with Semantic Computing and Robotic Intelligence

A. A. Outa, S. Hicks, V. Thambawita, S. Andresen, J. M. Enserink, P. Halvorsen, M. Riegler and H. Knævelsrud

CELLULAR, A Cell Autophagy Imaging Dataset

Scientific Data

H. B. Trine, O. Witczak, S. Hicks, L. Bjørndal, J. M. Andersen and M. Riegler

Sperm motility assessed by deep convolutional neural networks into WHO categories

Scientific Reports

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

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

B. Ionescu, M. Riegler, P. Halvorsen, S. Hicks, V. Thambawita, A. Storås and e. al.

ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications

Advances in Information Retrieval. ECIR 2023

D. Jha, V. Sharma, N. Dasu, N. K. Tomar, S. Hicks, M. K. Bhuyan, P. K. Das, M. Riegler, P. Halvorsen, U. Bagci and T. de Lange

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection

Proc. of Workshop on Machine Learning for Multimodal Healthcare Data (ML4MHD)

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

2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)

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. HECKTOR 2022

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)

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

Multimedia datasets: challenges and future possibilities

MultiMedia Modeling. MMM 2023

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

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

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

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, 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

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. 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

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

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)

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)

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. 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

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

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)

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)

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

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

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

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

A. H. M. Ahmed

Predicting High Delays in Mobile Broadband Networks

IEEE Access

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

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

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

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

N. P. P. TzavaraTzavara and B. Singstad

Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy Images

Nordic Machine Intelligence

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

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)

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