An experimental assessment of five indices of retinal vessel tortuosity with the RET-TORT public dataset. - Aneta Lisowska; Roberto Annunziata; Graeme Kenneth Loh; David Karl; Emanuele Trucco (EMBC, 2014)

An Evaluation of Supervised, Novelty-Based and Hybrid Approaches to Fall Detection Using Silmee Accelerometer Data. - Aneta Lisowska; Gavin Wheeler; Victor Ceballos Inza; Ian Poole (ICCV Workshops, 2015)

Thrombus Detection in CT Brain Scans using a Convolutional Neural Network. - Aneta Lisowska; Erin Beveridge; Keith Muir 001; Ian Poole (BIOIMAGING, 2017)

Evaluation of Dense Vessel Detection in NCCT Scans. - Aneta Lisowska; Erin Beveridge; Alison O'Neil; Vismantas Dilys; Keith Muir 001; Ian Poole (BIOSTEC (Selected Papers), 2017)

Evaluation of an Automatic ASPECT Scoring System for Acute Stroke in Non-Contrast CT. - Matthew Daykin; Erin Beveridge; Vismantas Dilys; Aneta Lisowska; Keith Muir 001; Mathini Sellathurai; Ian Poole (MIUA, 2017)

Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans. - Aneta Lisowska; Alison O'Neil; Vismantas Dilys; Matthew Daykin; Erin Beveridge; Keith Muir 001; Stephen McLaughlin 001; Ian Poole (MIUA, 2017)

Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data. - Aneta Lisowska; Alison O'Neil; Ian Poole (HEALTHINF, 2018)

Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text. - Matús Falis; Maciej Pajak; Aneta Lisowska; Patrick Schrempf; Lucas Deckers; Shadia Mikhael; Sotirios A. Tsaftaris; Alison O'Neil (LOUHI@EMNLP, 2019)

Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans. - Daria Zotova; Aneta Lisowska; Owen Anderson; Vismantas Dilys; Alison O'Neil (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Continual Class Incremental Learning for CT Thoracic Segmentation. - Abdelrahman Elskhawy; Aneta Lisowska; Matthias Keicher; Joseph Henry; Paul Thomson; Nassir Navab (DART/DCL@MICCAI, 2020)

Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. - Patrick Schrempf; Hannah Watson; Shadia Mikhael; Maciej Pajak; Matús Falis; Aneta Lisowska; Keith W. Muir; David Harris-Birtill; Alison Q. O'Neil (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Teacher-Student chain for efficient semi-supervised histology image classification. - Shayne Shaw; Maciej Pajak; Aneta Lisowska; Sotirios A. Tsaftaris; Alison Q. O'Neil (CoRR, 2020)

Personality and Habit Formation: Is There a Link? - Aneta Lisowska; Shiri Lavy; Szymon Wilk; Mor Peleg (SMARTERCARE@AI*IA, 2021)

From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data. - Aneta Lisowska; Szymon Wilk; Mor Peleg (SMARTERCARE@AI*IA, 2021)

Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse. - Aneta Lisowska; Szymon Wilk; Mor Peleg (AIME, 2021)

Is it a good time to survey you? Cognitive load classification from blood volume pulse. - Aneta Lisowska; Szymon Wilk; Mor Peleg (CBMS, 2021)

How to Improve Digital Wellbeing Interventions? Preliminary Study of Factors Affecting Intervention Engagement, Impact, and Habit Formation. - Aneta Lisowska; Shiri Lavy; Szymon Wilk; Mor Peleg (AMIA, 2022)

CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning. - Filip Slazyk; Przemyslaw Jablecki; Aneta Lisowska; Maciej Malawski; Szymon Plotka (ICCS (1), 2022)

What do you need to consider when designing mobile health intervention? - Aneta Lisowska; Szymon Wilk; Mor Peleg (CoRR, 2022)

Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements. - Szymon Plotka; Adam Klasa; Aneta Lisowska; Joanna Seliga-Siwecka; Michal Lipa; Tomasz Trzcinski; Arkadiusz Sitek (CoRR, 2022)

FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (CoRR, 2022)

Designing Personalised Gamification of mHealth Survey Applications. - Paulina Adamczyk; Sylwia Marek; Ryszard Precikowski; Maciej Kus; Michal K. Grzeszczyk; Maciej Malawski; Aneta Lisowska (HEALTHINF, 2023)

Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? - Michal K. Grzeszczyk; Anna Lisowska; Arkadiusz Sitek; Aneta Lisowska (MobileHCI (Companion), 2023)

Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load. - Michal K. Grzeszczyk; Paulina Adamczyk; Sylwia Marek; Ryszard Precikowski; Maciej Kus; M. Patrycja Lelujko; Rosmary Blanco; Tomasz Trzcinski; Arkadiusz Sitek; Maciej Malawski; Aneta Lisowska (CoRR, 2023)

Personalizing Digital Health Behavior Change Interventions using Machine Learning and Domain Knowledge. - Aneta Lisowska; Szymon Wilk; Mor Peleg (CoRR, 2023)

SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications. - Aneta Lisowska; Szymon Wilk; Mor Peleg (J. Biomed. Informatics, 2023)

Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions. - Aneta Lisowska; Szymon Wilk; Laura Locati; Mimma Rizzo; Lucia Sacchi; Silvana Quaglini; Matteo Terzaghi; Valentina Tibollo; Mor Peleg (CoRR, 2024)

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (Medical Image Anal., 2024)

Personalizing mHealth Apps with Offline Reinforcement Learning: A Case Study on Mental Health App Adherence. - Rutger van der Linden; Khadicha Amarti; Marketa Ciharova; Annet Kleiboer; Heleen Riper; Aneta Lisowska; Mark Hoogendoorn (AIME (2), 2025)