no code implementations • 18 Mar 2024 • Aneta Lisowska, Szymon Wilk, Laura Locati, Mimma Rizzo, Lucia Sacchi, Silvana Quaglini, Matteo Terzaghi, Valentina Tibollo, Mor Peleg
Digital Behavior Change Interventions (DBCIs) are supporting development of new health behaviors.
no code implementations • 21 Dec 2023 • Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska
Automatic detection and tracking of emotional states has the potential for helping individuals with various mental health conditions.
no code implementations • 6 Apr 2023 • Aneta Lisowska, Szymon Wilk, Mor Peleg
We are developing a virtual coaching system that helps patients adhere to behavior change interventions (BCI).
no code implementations • 7 Feb 2023 • Michal K. Grzeszczyk, Paulina Adamczyk, Sylwia Marek, Ryszard Pręcikowski, Maciej Kuś, M. Patrycja Lelujko, Rosmary Blanco, Tomasz Trzciński, Arkadiusz Sitek, Maciej Malawski, Aneta Lisowska
The effectiveness of digital treatments can be measured by requiring patients to self-report their state through applications, however, it can be overwhelming and causes disengagement.
1 code implementation • 24 Jun 2022 • Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Meriaudeau, 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 Płotka, 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
For this challenge, we released a dataset of 2060 images, pixel-annotated for vessels, tool, fetus and background classes, from 18 in-vivo TTTS fetoscopy procedures and 18 short video clips.
1 code implementation • 27 May 2022 • Szymon Płotka, Adam Klasa, Aneta Lisowska, Joanna Seliga-Siwecka, Michał Lipa, Tomasz Trzciński, Arkadiusz Sitek
We found that automated fetal biometric measurements obtained by FUVAI were comparable to the measurements performed by experienced sonographers The observed differences in measurement values were within the range of inter- and intra-observer variability.
1 code implementation • 11 Apr 2022 • Filip Ślazyk, Przemysław Jabłecki, Aneta Lisowska, Maciej Malawski, Szymon Płotka
Federated learning enables building a shared model from multicentre data while storing the training data locally for privacy.
no code implementations • 12 Aug 2020 • Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Josep Henry, Paul Thomson, Nassir Navab
In this work, we evaluate FT and LwF for class incremental learning in multi-organ segmentation using the publicly available AAPM dataset.
no code implementations • 31 Jul 2020 • Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matúš Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
Training medical image analysis models requires large amounts of expertly annotated data which is time-consuming and expensive to obtain.
no code implementations • 17 Mar 2020 • Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A. Tsaftaris, Alison Q. O'Neil
Deep learning shows great potential for the domain of digital pathology.
no code implementations • WS 2019 • Matus Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios Tsaftaris, Alison O{'}Neil
We present a semantically interpretable system for automated ICD coding of clinical text documents.