Aneta Lisowska

Orcid: 0000-0002-4489-5956

According to our database1, Aneta Lisowska authored at least 28 papers between 2014 and 2024.

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Bibliography

2024
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings.
Medical Image Anal., February, 2024

Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions.
CoRR, 2024

2023
SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications.
J. Biomed. Informatics, February, 2023

Personalizing Digital Health Behavior Change Interventions using Machine Learning and Domain Knowledge.
CoRR, 2023

Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load.
CoRR, 2023

Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings?
Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, 2023

Designing Personalised Gamification of mHealth Survey Applications.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy.
CoRR, 2022

Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements.
CoRR, 2022

What do you need to consider when designing mobile health intervention?
CoRR, 2022

CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning.
Proceedings of the Computational Science - ICCS 2022, 2022

How to Improve Digital Wellbeing Interventions? Preliminary Study of Factors Affecting Intervention Engagement, Impact, and Habit Formation.
Proceedings of the AMIA 2022, 2022

2021
Is it a good time to survey you? Cognitive load classification from blood volume pulse.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse.
Proceedings of the Artificial Intelligence in Medicine, 2021

From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data.
Proceedings of the Workshop on Towards Smarter Health Care: Can Artificial Intelligence Help? co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

Personality and Habit Formation: Is There a Link?
Proceedings of the Workshop on Towards Smarter Health Care: Can Artificial Intelligence Help? co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

2020
Teacher-Student chain for efficient semi-supervised histology image classification.
CoRR, 2020

Paying Per-Label Attention for Multi-label Extraction from Radiology Reports.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Continual Class Incremental Learning for CT Thoracic Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019
Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018
Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Evaluation of an Automatic ASPECT Scoring System for Acute Stroke in Non-Contrast CT.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Evaluation of Dense Vessel Detection in NCCT Scans.
Proceedings of the Biomedical Engineering Systems and Technologies, 2017

Thrombus Detection in CT Brain Scans using a Convolutional Neural Network.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2015
An Evaluation of Supervised, Novelty-Based and Hybrid Approaches to Fall Detection Using Silmee Accelerometer Data.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
An experimental assessment of five indices of retinal vessel tortuosity with the RET-TORT public dataset.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


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