Analysis and design of an optimally coupled 5-GHz quadrature LC oscillator. - Johan van der Tang; Pepijn van de Ven; Dieter Kasperkovitz; Arthur H. M. van Roermund (IEEE J. Solid State Circuits, 2002)

Identification and control of underwater vehicles with the aid of neural networks. - Pepijn van de Ven; Colin Flanagan; Daniel J. F. Toal; Edin Omerdic (RAM, 2004)

Neural network control of underwater vehicles. - Pepijn van de Ven; Colin Flanagan; Daniel J. F. Toal (Eng. Appl. Artif. Intell., 2005)

Robust Active Queue Management using a Quantitative Feedback Theory Based Loop-Shaping Framework. - Martin J. Hayes; Seyed Mohammad Mahdi Alavi; Pepijn van de Ven (ACC, 2007)

A wireless platform for fall and mobility monitoring in health care. - Pepijn van de Ven; Alan Bourke; John Nelson; Gearóid Ó Laighin (BODYNETS, 2008)

A wearable wireless platform for fall and mobility monitoring. - Pepijn van de Ven; Alan Bourke; John Nelson; Gearóid Ó Laighin (PETRA, 2008)

ICT4Depression: Service oriented architecture applied to the treatment of depression. - Artur Rocha; Mario Ricardo Henriques; João Correia Lopes; Rui Camacho; Michel C. A. Klein; Gabriele Modena; Pepijn van de Ven; Elaine McGovern; Eric Tousset; Thibaut Gauthier; Lisanne Warmerdam (CBMS, 2012)

Innovative ICT Solutions to Improve Treatment Outcomes for Depression: The ICT4Depression Project. - Lisanne Warmerdam; Heleen Riper; Michel C. A. Klein; Pepijn van de Ven; Artur Rocha; Mario Ricardo Henriques; Eric Tousset; Hugo Silva; Gerhard Andersson; Pim Cuijpers (Annual Review of Cybertherapy and Telemedicine, 2012)

Innovations in health care services: The CAALYX system. - Artur Rocha; Angelo Martins; José Celso Freire Junior; Maged N. Kamel Boulos; Manuel Escriche Vicente; Robert Feld; Pepijn van de Ven; John Nelson; Alan Bourke; Gearóid Ó Laighin; Claudio Sdogati; Angela Jobes; et al. (Int. J. Medical Informatics, 2013)

A single vs. multi-sensor approach to enhanced detection of smartphone placement. - John J. Guiry; Chris J. Karr; Pepijn van de Ven; John Nelson; Mark Begale (EMBC, 2014)

Multi-Sensor Fusion for Enhanced Contextual Awareness of Everyday Activities with Ubiquitous Devices. - John J. Guiry; Pepijn van de Ven; John Nelson (Sensors, 2014)

Towards Situation-Aware Mobile Applications in Mental Health. - Ariel Soares Teles; Artur Rocha; Francisco José Silva; João Correia Lopes; Donal O'Sullivan; Pepijn van de Ven; Markus Endler (CBMS, 2016)

Video analysis validation of a real-time physical activity detection algorithm based on a single waist mounted tri-axial accelerometer sensor. - Alan K. Bourke; Espen A. F. Ihlen; Pepijn van de Ven; John Nelson; Jorunn L. Helbostad (EMBC, 2016)

Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness. - Ariel Soares Teles; Artur Rocha; Francisco José da Silva e Silva; João Correia Lopes; Donal O'Sullivan; Pepijn van de Ven; Markus Endler (Sensors, 2017)

Streetseek - Understanding Public Space Engagement Using Deep Learning & Thermal Imaging. - Ciarán O' Mara; Eoghan Mulcahy; Pepijn van de Ven; John Nelson (AICS, 2020)

Aerial Object Detection for Water-Based Search & Rescue. - Eoghan Mulcahy; Pepijn van de Ven; John Nelson (AICS, 2022)

FisheyePixPro: Self-supervised pretraining using Fisheye images for semantic segmentation. - Ramchandra Cheke; Ganesh Sistu; Ciarán Eising; Pepijn van de Ven; Varun Ravi Kumar; Senthil Kumar Yogamani (Autonomous Vehicles and Machines, 2022)

Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (AICS, 2023)

Augmenting the Human in Industry 4.0 to Add Value: A Taxonomy of Human Augmentation Approach. - Jacqueline Humphries; Pepijn van de Ven; Alan Ryan (CHIRA (1), 2023)

Machine Learning Models for Depression Detection Using the Concept of Perceived Control. - Prosper Azaglo; Pepijn van de Ven; Rachel M. Msetfi; John Nelson (IWANN (2), 2023)

Quantifying the Effects of Ground Truth Annotation Quality on Object Detection and Instance Segmentation Performance. - Cathaoir Agnew; Ciarán Eising; Patrick Denny; Anthony G. Scanlan; Pepijn van de Ven; Eoin Martino Grua (IEEE Access, 2023)

Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (CoRR, 2023)

Detecting the overfilled status of domestic and commercial bins using computer vision. - Cathaoir Agnew; Dishant Mewada; Eoin Martino Grua; Ciarán Eising; Patrick Denny; Mark Heffernan; Ken Tierney; Pepijn van de Ven; Anthony G. Scanlan (Intell. Syst. Appl., 2023)

Annotation Quality Versus Quantity for Object Detection and Instance Segmentation. - Cathaoir Agnew; Anthony G. Scanlan; Patrick Denny; Eoin Martino Grua; Pepijn van de Ven; Ciarán Eising (IEEE Access, 2024)

PatchLoc: Embedded Patch Localization Pretext Task for Tumor Segmentation in Medical Images. - Ramchandra Cheke; Ciarán Eising; Patrick Denny; Pepijn van de Ven (IEEE Access, 2024)

Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision. - Dishant Mewada; Cathaoir Agnew; Eoin Martino Grua; Ciarán Eising; Patrick Denny; Mark Heffernan; Ken Tierney; Pepijn van de Ven; Anthony G. Scanlan (IEEE Access, 2024)

Dynamic Filter Application in Graph Convolutional Networks for Enhanced Spectral Feature Analysis and Class Discrimination in Medical Imaging. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (IEEE Access, 2024)

Measuring Natural Scenes SFR of Automotive Fisheye Cameras. - Daniel Jakab; Eoin Martino Grua; Brian Michael Deegan; Anthony G. Scanlan; Pepijn van de Ven; Ciarán Eising (CoRR, 2024)

Subgraph Clustering and Atom Learning for Improved Image Classification. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (CoRR, 2024)

Pretraining instance segmentation models with bounding box annotations. - Cathaoir Agnew; Eoin Martino Grua; Pepijn van de Ven; Patrick Denny; Ciarán Eising; Anthony G. Scanlan (Intell. Syst. Appl., 2024)

Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges. - Daniel Jakab; Brian Michael Deegan; Sushil Sharma; Eoin Martino Grua; Jonathan Horgan; Enda Ward; Pepijn van de Ven; Anthony G. Scanlan; Ciarán Eising (IEEE Trans. Intell. Transp. Syst., 2024)

TokenCutSeg: Label-Efficient Skin Lesion Segmentation by Powering Supervised Refinement With Self-Learned Visual Vocabularies. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (IEEE Access, 2025)

Image Segmentation: Inducing graph-based learning. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (CoRR, 2025)