Aneta Lisowska

35 papers B 2Misc 1Journal 13Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Assessing Effective Engagement with Digital Behavior Change Intervention: The Case Study of the CAPABLE Project. MedInfo Aneta Lisowska, Szymon Wilk, Laura Locati, Mimma Rizzo, Lucia Sacchi, Silvana Quaglini, Matteo Terzaghi, Valentina Tibollo, Nehama Lewis, Mor Peleg
2025	—	`conf`	Personalizing mHealth Apps with Offline Reinforcement Learning: A Case Study on Mental Health App Adherence. AIME (2) Rutger van der Linden, Khadicha Amarti, Marketa Ciharova, Annet Kleiboer, Heleen Riper, Aneta Lisowska, Mark Hoogendoorn
2024	J	`jnl`	Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? CoRR Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska
2024	J	`jnl`	Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions. CoRR Aneta Lisowska, Szymon Wilk, Laura Locati, Mimma Rizzo, Lucia Sacchi, Silvana Quaglini, Matteo Terzaghi, Valentina Tibollo, Mor Peleg
2024	—	`conf`	Does Personalization of Motivational Messages Enhance Adherence to Walking Interventions Among Cancer Patients? PervasiveHealth (1) Aneta Lisowska, Nehama Lewis, Paula Gabanelli, Itske Fraterman, Lucia Sacchi, Silvana Quaglini, Szymon Wilk, Mor Peleg
2024	J	`jnl`	Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. Medical Image Anal. Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Plotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L. David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov
2023	J	`jnl`	Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load. CoRR Michal K. Grzeszczyk, Paulina Adamczyk, Sylwia Marek, Ryszard Precikowski, Maciej Kus, M. Patrycja Lelujko, Rosmary Blanco, Tomasz Trzcinski, Arkadiusz Sitek, Maciej Malawski, Aneta Lisowska
2023	—	`conf`	Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? MobileHCI (Companion) Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska
2023	—	`conf`	Designing Personalised Gamification of mHealth Survey Applications. HEALTHINF Paulina Adamczyk, Sylwia Marek, Ryszard Precikowski, Maciej Kus, Michal K. Grzeszczyk, Maciej Malawski, Aneta Lisowska
2023	J	`jnl`	Personalizing Digital Health Behavior Change Interventions using Machine Learning and Domain Knowledge. CoRR Aneta Lisowska, Szymon Wilk, Mor Peleg
2023	J	`jnl`	SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications. J. Biomed. Informatics Aneta Lisowska, Szymon Wilk, Mor Peleg
2022	—	`conf`	CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning. ICCS (1) Filip Slazyk, Przemyslaw Jablecki, Aneta Lisowska, Maciej Malawski, Szymon Plotka
2022	J	`jnl`	CXR-FL: Deep Learning-based Chest X-ray Image Analysis Using Federated Learning. CoRR Filip Slazyk, Przemyslaw Jablecki, Aneta Lisowska, Maciej Malawski, Szymon Plotka
2022	J	`jnl`	Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements. CoRR Szymon Plotka, Adam Klasa, Aneta Lisowska, Joanna Seliga-Siwecka, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
2022	J	`jnl`	FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. CoRR Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Plotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L. David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov
2022	Misc	`conf`	How to Improve Digital Wellbeing Interventions? Preliminary Study of Factors Affecting Intervention Engagement, Impact, and Habit Formation. AMIA Aneta Lisowska, Shiri Lavy, Szymon Wilk, Mor Peleg
2022	J	`jnl`	What do you need to consider when designing mobile health intervention? CoRR Aneta Lisowska, Szymon Wilk, Mor Peleg
2021	B	`conf`	Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse. AIME Aneta Lisowska, Szymon Wilk, Mor Peleg
2021	—	`conf`	From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data. SMARTERCARE@AI*IA Aneta Lisowska, Szymon Wilk, Mor Peleg
2021	B	`conf`	Is it a good time to survey you? Cognitive load classification from blood volume pulse. CBMS Aneta Lisowska, Szymon Wilk, Mor Peleg
2021	—	`conf`	Personality and Habit Formation: Is There a Link? SMARTERCARE@AI*IA Aneta Lisowska, Shiri Lavy, Szymon Wilk, Mor Peleg
2020	—	`conf`	Continual Class Incremental Learning for CT Thoracic Segmentation. DART/DCL@MICCAI Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Joseph Henry, Paul Thomson, Nassir Navab
2020	J	`jnl`	Continual Class Incremental Learning for CT Thoracic Segmentation. CoRR Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Joseph Henry, Paul Thomson, Nassir Navab
2020	—	`conf`	Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. iMIMIC/MIL3ID/LABELS@MICCAI Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
2020	J	`jnl`	Paying Per-label Attention for Multi-label Extraction from Radiology Reports. CoRR Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
2020	J	`jnl`	Teacher-Student chain for efficient semi-supervised histology image classification. CoRR Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A. Tsaftaris, Alison Q. O'Neil
2019	—	`conf`	Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans. LABELS/HAL-MICCAI/CuRIOUS@MICCAI Daria Zotova, Aneta Lisowska, Owen Anderson, Vismantas Dilys, Alison O'Neil
2019	—	`conf`	Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text. LOUHI@EMNLP Matús Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios A. Tsaftaris, Alison O'Neil
2018	—	`conf`	Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data. HEALTHINF Aneta Lisowska, Alison O'Neil, Ian Poole
2017	—	`conf`	Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans. MIUA Aneta Lisowska, Alison O'Neil, Vismantas Dilys, Matthew Daykin, Erin Beveridge, Keith Muir, Stephen McLaughlin, Ian Poole
2017	—	`conf`	Evaluation of Dense Vessel Detection in NCCT Scans. BIOSTEC (Selected Papers) Aneta Lisowska, Erin Beveridge, Alison O'Neil, Vismantas Dilys, Keith Muir, Ian Poole
2017	—	`conf`	Evaluation of an Automatic ASPECT Scoring System for Acute Stroke in Non-Contrast CT. MIUA Matthew Daykin, Erin Beveridge, Vismantas Dilys, Aneta Lisowska, Keith Muir, Mathini Sellathurai, Ian Poole
2017	—	`conf`	Thrombus Detection in CT Brain Scans using a Convolutional Neural Network. BIOIMAGING Aneta Lisowska, Erin Beveridge, Keith Muir, Ian Poole
2015	—	`conf`	An Evaluation of Supervised, Novelty-Based and Hybrid Approaches to Fall Detection Using Silmee Accelerometer Data. ICCV Workshops Aneta Lisowska, Gavin Wheeler, Victor Ceballos Inza, Ian Poole
2014	—	`conf`	An experimental assessment of five indices of retinal vessel tortuosity with the RET-TORT public dataset. EMBC Aneta Lisowska, Roberto Annunziata, Graeme Kenneth Loh, David Karl, Emanuele Trucco