Steven Alexander Hicks

Orcid: 0000-0002-3332-1201

According to our database1, Steven Alexander Hicks authored at least 74 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024

2023
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction.
CoRR, 2023

ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Multimedia Datasets: Challenges and Future Possibilities.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

Medico Multimedia Task at MediaEval 2023: Transparent Tracking of Spermatozoa.
Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023



Overview of ImageCLEFmedical 2023 - Medical Visual Question Answering for Gastrointestinal Tract.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Visual Sentiment Analysis from Disaster Images in Social Media.
Sensors, 2022

VISEM-Tracking: Human Spermatozoa Tracking Dataset.
CoRR, 2022

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations.
CoRR, 2022

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR, 2022

MMSys'22 Grand Challenge on AI-based Video Production for Soccer.
CoRR, 2022

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation.
Comput. Biol. Medicine, 2022

Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children.
Big Data Cogn. Comput., 2022

Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure.
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022

Njord: a fishing trawler dataset.
Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

Automatic thumbnail selection for soccer videos using machine learning.
Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

Huldra: a framework for collecting crowdsourced feedback on multimedia assets.
Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework.
Proceedings of the IEEE International Symposium on Multimedia, 2022

Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging.
Medical Image Anal., 2021

AI-Based Video Clipping of Soccer Events.
Mach. Learn. Knowl. Extr., 2021

Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities.
Mach. Learn. Knowl. Extr., 2021

Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events.
Int. J. Semantic Comput., 2021

Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021.
CoRR, 2021

SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation.
CoRR, 2021

DivergentNets: Medical Image Segmentation by Network Ensemble.
CoRR, 2021

Few-shot segmentation of medical images based on meta-learning with implicit gradients.
CoRR, 2021

Prediction of Cloud Fractional Cover Using Machine Learning.
Big Data Cogn. Comput., 2021

Predicting High Delays in Mobile Broadband Networks.
IEEE Access, 2021

Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Reproducibility Companion Paper: Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Reproducibility Companion Paper: Blind Natural Video Quality Prediction via Statistical Temporal Features and Deep Spatial Features.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Pyramidal Segmentation of Medical Images using Adversarial Training.
Proceedings of the ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021

Multimodal Virtual Avatars for Investigative Interviews with Children.
Proceedings of the ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021

Emotional Mario Task at MediaEval 2021.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Automated Clipping of Soccer Events using Machine Learning.
Proceedings of the IEEE International Symposium on Multimedia, 2021

DivergentNets:Medical Image Segmentation by Network Ensemble.
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), 2021

A self-learning teacher-student framework for gastrointestinal image classification.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros.
Proceedings of the 11th ACM Multimedia Systems Conference, 2020

ACM Multimedia BioMedia 2020 Grand Challenge Overview.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks.
Proceedings of the IEEE International Symposium on Multimedia, 2020

Vid2Pix - A Framework for Generating High-Quality Synthetic Videos.
Proceedings of the IEEE International Symposium on Multimedia, 2020

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

PSYKOSE: A Motor Activity Database of Patients with Schizophrenia.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction.
CoRR, 2019

VISEM: a multimodal video dataset of human spermatozoa.
Proceedings of the 10th ACM Multimedia Systems Conference, 2019


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, 2019

Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Using Deep Learning to Predict Motility and Morphology of Human Sperm.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Medico Multimedia Task at MediaEval 2019.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Unsupervised preprocessing to improve generalisation for medical image classification.
Proceedings of the 13th International Symposium on Medical Information and Communication Technology, 2019

A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI.
Proceedings of the IEEE International Symposium on Multimedia, 2019

Semantic Analysis of Soccer News for Automatic Game Event Classification.
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2018
Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis.
Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain.
Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Medico Multimedia Task at MediaEval 2018.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Deep Learning Based Disease Detection Using Domain Specific Transfer Learning.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018


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