Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. - Michal K. Grzeszczyk; Tadeusz Satlawa; Angela Lungu; Andrew J. Swift; Andrew J. Narracott; D. Rodney Hose; Tomasz Trzcinski; Arkadiusz Sitek (ICCS (3), 2022)

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. - Szymon Plotka; Michal K. Grzeszczyk; Robert Brawura-Biskupski-Samaha; Pawel Gutaj; Michal Lipa; Tomasz Trzcinski; Arkadiusz Sitek (MICCAI (4), 2022)

Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. - Michal K. Grzeszczyk; Szymon Plotka; Arkadiusz Sitek (STACOM@MICCAI, 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)

Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation. - Magdalena Dul; Michal K. Grzeszczyk; Ewelina Nojszewska; Arkadiusz Sitek (ICCS (3), 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)

TabAttention: Learning Attention Conditionally on Tabular Data. - Michal K. Grzeszczyk; Szymon Plotka; Beata Rebizant; Katarzyna Kosinska-Kaczynska; Michal Lipa; Robert Brawura-Biskupski-Samaha; Przemyslaw Korzeniowski; Tomasz Trzcinski; Arkadiusz Sitek (MICCAI (7), 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)

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. - Michal K. Grzeszczyk; Tadeusz Satlawa; Angela Lungu; Andrew J. Swift; Andrew J. Narracott; Rod Hose; Tomasz Trzcinski; Arkadiusz Sitek (CoRR, 2023)

BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. - Szymon Plotka; Michal K. Grzeszczyk; Robert Brawura-Biskupski-Samaha; Pawel Gutaj; Michal Lipa; Tomasz Trzcinski; Ivana Isgum; Clara I. Sánchez; Arkadiusz Sitek (Comput. Biol. Medicine, 2023)

TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. - Michal K. Grzeszczyk; Przemyslaw Korzeniowski; Samer Alabed; Andrew J. Swift; Tomasz Trzcinski; Arkadiusz Sitek (MICCAI (5), 2024)

Let Me DeCode You: Decoder Conditioning with Tabular Data. - Tomasz Szczepanski; Michal K. Grzeszczyk; Szymon Plotka; Arleta Adamowicz; Piotr Fudalej; Przemyslaw Korzeniowski; Tomasz Trzcinski; Arkadiusz Sitek (MICCAI (3), 2024)

MISS: Multiclass Interpretable Scoring Systems. - Michal K. Grzeszczyk; Tomasz Trzcinski; Arkadiusz Sitek (SDM, 2024)

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation. - Pawel Renc; Michal K. Grzeszczyk; Nassim Oufattole; Deirdre Goode; Yugang Jia; Szymon Bieganski; Matthew B. A. McDermott; Jaroslaw Was; Anthony E. Samir; Jonathan W. Cunningham; David W. Bates; Arkadiusz Sitek (CoRR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge. - Federico Bolelli; Luca Lumetti; Shankeeth Vinayahalingam; Mattia Di Bartolomeo; Arrigo Pellacani; Kevin Marchesini; Niels van Nistelrooij; Pieter van Lierop; Tong Xi; Yusheng Liu; Rui Xin 003; Tao Yang 037; et al. (IEEE Trans. Medical Imaging, 2025)

Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment. - Pawel Renc; Michal K. Grzeszczyk; Linglong Qian; Nassim Oufattole; Jeff Rasley; Arkadiusz Sitek (CoRR, 2025)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang 004; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)