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Michal K. Grzeszczyk
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Journal Articles
- 2025
- [j3]Kelly Payette
, Céline Steger, Roxane Licandro
, Priscille de Dumast, Hongwei Bran Li
, Matthew J. Barkovich
, Liu Li
, Maik Dannecker
, Chen Chen
, Cheng Ouyang
, Niccolò McConnell
, Alina Dana Miron
, Yongmin Li
, Alena Uus, Irina Grigorescu
, Paula Ramirez Gilliland, Md Mahfuzur Rahman Siddiquee
, Daguang Xu
, Andriy Myronenko, Haoyu Wang, Ziyan Huang, Jin Ye
, Mireia Alenyà, Valentin Comte
, Oscar Camara
, Jean-Baptiste Masson
, Astrid Nilsson
, Charlotte Godard
, Moona Mazher
, Abdul Qayyum
, Yibo Gao, Hangqi Zhou, Shangqi Gao
, Jia Fu, Guiming Dong, Guotai Wang
, ZunHyan Rieu, HyeonSik Yang, Minwoo Lee, Szymon Plotka
, Michal K. Grzeszczyk
, Arkadiusz Sitek, Luisa Vargas Daza
, Santiago Usma, Pablo Arbeláez
, Wenying Lu, Wenhao Zhang
, Jing Liang, Romain Valabrègue, Anand A. Joshi, Krishna N. Nayak, Richard M. Leahy, Luca Wilhelmi, Aline Dändliker, Hui Ji, Antonio G. Gennari, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Gregor Kasprian, Gregor Dovjak, Milan Rados, Lana Vasung, Meritxell Bach Cuadra
, András Jakab
:
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. IEEE Trans. Medical Imaging 44(3): 1257-1272 (2025) - [j2]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
, Tao Yang
, Lisheng Wang
, Haoshen Wang
, Chenfan Xu, Zhiming Cui, Marek Wodzinski
, Henning Müller
, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein
, Jae-Hwan Han
, Wan Kim, Hong-Gi Ahn
, Tomasz Szczepanski
, Michal K. Grzeszczyk
, Przemyslaw Korzeniowski
, Vicent Caselles Costa
, Xavier Paolo Burgos-Artizzu, Ferran Prados Carrasco
, Stefaan Berge', Bram van Ginneken
, Alexandre Anesi
, Costantino Grana
:
Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge. IEEE Trans. Medical Imaging 44(4): 1890-1906 (2025) - 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)
Conference and Workshop Papers
- 2025
- [c12]Tomasz Szczepanski
, Szymon Plotka, Michal K. Grzeszczyk, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek:
GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation. MICCAI (2) 2025: 218-228 - [c11]Michal K. Grzeszczyk, Tomasz Szczepanski, Pawel Renc, Siyeop Yoon, Jerome Charton, Tomasz Trzcinski, Arkadiusz Sitek:
RegScore: Scoring Systems for Regression Tasks. MICCAI (14) 2025: 518-528 - 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 - 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 - 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
Informal and Other Publications
- 2025
- [i11]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) - [i10]Pawel Renc, Michal K. Grzeszczyk, Linglong Qian, Nassim Oufattole, Jeff Rasley, Arkadiusz Sitek:
Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment. CoRR abs/2506.23358 (2025) - [i9]Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang:
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. CoRR abs/2507.19165 (2025) - 2024
- [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
- [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
- [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)
Coauthor Index
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last updated on 2025-11-04 23:26 CET by the dblp team
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