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Aneta Lisowska
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2020 – today
- 2024
- [j2]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:
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. Medical Image Anal. 92: 103066 (2024) - [i11]Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska:
Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? CoRR abs/2401.05408 (2024) - [i10]Aneta Lisowska, Szymon Wilk, Laura Locati, Mimma Rizzo, Lucia Sacchi, Silvana Quaglini, Matteo Terzaghi, Valentina Tibollo, Mor Peleg:
Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions. CoRR abs/2403.12007 (2024) - 2023
- [j1]Aneta Lisowska, Szymon Wilk, Mor Peleg:
SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications. J. Biomed. Informatics 138: 104276 (2023) - [c19]Paulina Adamczyk, Sylwia Marek, Ryszard Precikowski, Maciej Kus, Michal K. Grzeszczyk, Maciej Malawski, Aneta Lisowska:
Designing Personalised Gamification of mHealth Survey Applications. HEALTHINF 2023: 224-231 - [c18]Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska:
Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings? MobileHCI (Companion) 2023: 3:1-3:6 - [i9]Michal K. Grzeszczyk, Paulina Adamczyk, Sylwia Marek, Ryszard Precikowski, Maciej Kus, M. Patrycja Lelujko, Rosmary Blanco, Tomasz Trzcinski, Arkadiusz Sitek, Maciej Malawski, Aneta Lisowska:
Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load. CoRR abs/2302.03616 (2023) - [i8]Aneta Lisowska, Szymon Wilk, Mor Peleg:
Personalizing Digital Health Behavior Change Interventions using Machine Learning and Domain Knowledge. CoRR abs/2304.03392 (2023) - 2022
- [c17]Aneta Lisowska, Shiri Lavy, Szymon Wilk, Mor Peleg:
How to Improve Digital Wellbeing Interventions? Preliminary Study of Factors Affecting Intervention Engagement, Impact, and Habit Formation. AMIA 2022 - [c16]Filip Slazyk, Przemyslaw Jablecki, Aneta Lisowska, Maciej Malawski, Szymon Plotka:
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning. ICCS (1) 2022: 433-440 - [i7]Filip Slazyk, Przemyslaw Jablecki, Aneta Lisowska, Maciej Malawski, Szymon Plotka:
CXR-FL: Deep Learning-based Chest X-ray Image Analysis Using Federated Learning. CoRR abs/2204.05203 (2022) - [i6]Aneta Lisowska, Szymon Wilk, Mor Peleg:
What do you need to consider when designing mobile health intervention? CoRR abs/2205.10679 (2022) - [i5]Szymon Plotka, Adam Klasa, Aneta Lisowska, Joanna Seliga-Siwecka, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek:
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements. CoRR abs/2205.13835 (2022) - [i4]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:
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. CoRR abs/2206.12512 (2022) - 2021
- [c15]Aneta Lisowska, Szymon Wilk, Mor Peleg:
From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data. SMARTERCARE@AI*IA 2021: 7-18 - [c14]Aneta Lisowska, Shiri Lavy, Szymon Wilk, Mor Peleg:
Personality and Habit Formation: Is There a Link? SMARTERCARE@AI*IA 2021: 42-47 - [c13]Aneta Lisowska, Szymon Wilk, Mor Peleg:
Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse. AIME 2021: 72-82 - [c12]Aneta Lisowska, Szymon Wilk, Mor Peleg:
Is it a good time to survey you? Cognitive load classification from blood volume pulse. CBMS 2021: 137-141 - 2020
- [c11]Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Joseph Henry, Paul Thomson, Nassir Navab:
Continual Class Incremental Learning for CT Thoracic Segmentation. DART/DCL@MICCAI 2020: 106-116 - [c10]Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil:
Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 277-289 - [i3]Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Teacher-Student chain for efficient semi-supervised histology image classification. CoRR abs/2003.08797 (2020) - [i2]Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil:
Paying Per-label Attention for Multi-label Extraction from Radiology Reports. CoRR abs/2007.16152 (2020) - [i1]Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Joseph Henry, Paul Thomson, Nassir Navab:
Continual Class Incremental Learning for CT Thoracic Segmentation. CoRR abs/2008.05557 (2020)
2010 – 2019
- 2019
- [c9]Matús Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios A. Tsaftaris, Alison O'Neil:
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text. LOUHI@EMNLP 2019: 168-177 - [c8]Daria Zotova, Aneta Lisowska, Owen Anderson, Vismantas Dilys, Alison O'Neil:
Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 3-12 - 2018
- [c7]Aneta Lisowska, Alison O'Neil, Ian Poole:
Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data. HEALTHINF 2018: 77-82 - 2017
- [c6]Aneta Lisowska, Erin Beveridge, Keith Muir, Ian Poole:
Thrombus Detection in CT Brain Scans using a Convolutional Neural Network. BIOIMAGING 2017: 24-33 - [c5]Aneta Lisowska, Erin Beveridge, Alison O'Neil, Vismantas Dilys, Keith Muir, Ian Poole:
Evaluation of Dense Vessel Detection in NCCT Scans. BIOSTEC (Selected Papers) 2017: 134-145 - [c4]Aneta Lisowska, Alison O'Neil, Vismantas Dilys, Matthew Daykin, Erin Beveridge, Keith Muir, Stephen McLaughlin, Ian Poole:
Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans. MIUA 2017: 494-505 - [c3]Matthew Daykin, Erin Beveridge, Vismantas Dilys, Aneta Lisowska, Keith Muir, Mathini Sellathurai, Ian Poole:
Evaluation of an Automatic ASPECT Scoring System for Acute Stroke in Non-Contrast CT. MIUA 2017: 537-547 - 2015
- [c2]Aneta Lisowska, Gavin Wheeler, Victor Ceballos Inza, Ian Poole:
An Evaluation of Supervised, Novelty-Based and Hybrid Approaches to Fall Detection Using Silmee Accelerometer Data. ICCV Workshops 2015: 402-408 - 2014
- [c1]Aneta Lisowska, Roberto Annunziata, Graeme Kenneth Loh, David Karl, Emanuele Trucco:
An experimental assessment of five indices of retinal vessel tortuosity with the RET-TORT public dataset. EMBC 2014: 5414-5417
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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