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2020 – today
- 2025
[i9]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:
Foundation Model of Electronic Medical Records for Adaptive Risk Estimation. CoRR abs/2502.06124 (2025)- 2024
- [c10]Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka
, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek:
Let Me DeCode You: Decoder Conditioning with Tabular Data. MICCAI (3) 2024: 228-238 - [c9]Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek:
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. MICCAI (5) 2024: 670-680 - [c8]Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek:
MISS: Multiclass Interpretable Scoring Systems. SDM 2024: 55-63 - [i8]Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek:
MISS: Multiclass Interpretable Scoring Systems. CoRR abs/2401.05069 (2024) - [i7]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) - [i6]Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek:
Let Me DeCode You: Decoder Conditioning with Tabular Data. CoRR abs/2407.09437 (2024) - [i5]Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek:
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. CoRR abs/2409.07564 (2024) - 2023
- [j1]Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Ivana Isgum, Clara I. Sánchez, Arkadiusz Sitek:
BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. Comput. Biol. Medicine 167: 107602 (2023) - [c7]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 - [c6]Magdalena Dul, Michal K. Grzeszczyk, Ewelina Nojszewska, Arkadiusz Sitek:
Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation. ICCS (3) 2023: 138-152 - [c5]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 - [c4]Michal K. Grzeszczyk, Szymon Plotka, Beata Rebizant, Katarzyna Kosinska-Kaczynska, Michal Lipa, Robert Brawura-Biskupski-Samaha, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek:
TabAttention: Learning Attention Conditionally on Tabular Data. MICCAI (7) 2023: 347-357 - [i4]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) - [i3]Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, Rod Hose, Tomasz Trzcinski, Arkadiusz Sitek:
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. CoRR abs/2312.14221 (2023) - 2022
- [c3]Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek:
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. ICCS (3) 2022: 14-27 - [c2]Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek:
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. MICCAI (4) 2022: 350-359 - [c1]Michal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek:
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. STACOM@MICCAI 2022: 409-417 - [i2]Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek:
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. CoRR abs/2205.09382 (2022) - [i1]Michal K. Grzeszczyk, Szymon Plotka, Arkadiusz Sitek:
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation. CoRR abs/2209.02470 (2022)
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