Tomasz Pieciak

基本信息

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职业迁徙

个人简介

Tomasz Pieciak received the MS degree in applied computer science and the PhD degree in computer science from AGH University of Science and Technology, Krakow, Poland, in 2010 and 2016, respectively. His scientific interests include statistical models and methods in signal and image processing, especially in context of magnetic resonance imaging. He is a member of the IEEE.

研究兴趣

论文共 55 篇作者统计合作学者相似作者

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Validation of Ten Federated Learning Strategies for Multi-Contrast Image-to-image MRI Data Synthesis from Heterogeneous Sources

Jan Fiszer, Dominika Ciupek,Maciej Malawski,Tomasz Pieciak

bioRxiv the preprint server for biology (2025)

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Federated Learning: A New Frontier in the Exploration of Multi-Institutional Medical Imaging Data

Dominika Ciupek,Maciej Malawski,Tomasz Pieciak

arxiv（2025）

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Multi-compartment Diffusion-Relaxation MR Signal Representation in the Spherical 3D-SHORE Basis

Fabian Bogusz,Tomasz Pieciak

arxiv（2025）

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Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization

Nancy Newlin, Kurt Schilling,Serge Koudoro, Bramsh Qamar Chandio, Praitayini Kanakaraj,Daniel Moyer, Claire E. Kelly, Sila Genc, Joseph Yuan-Mou Yang,Ye Wu,Nagesh Adluru, Vishwesh Nath, Sudhir K. Pathak,Walter Schneider, Anurag Gade, William Consagra,Yogesh Rathi, Tom Hendriks,Anna Vilanova, Maxime Chamberland,Tomasz Pieciak, Dominika Ciupek,Antonio Tristán Vega, Santiago Aja-Fernández,Maciej Malawski, Gani Ouedraogo, Julia Machnio, Paul M. Thompson,Neda Jahanshad,Eleftherios Garyfallidis, Bennett A. Landman

International Conference on Medical Image Computing and Computer-Assisted Interventionpp.164-174, (2024)

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MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity Through Harmonized Preprocessing of Diffusion MRI

Nancy R Newlin,Kurt Schilling,Serge Koudoro,Bramsh Qamar Chandio,Praitayini Kanakaraj,Daniel Moyer,Claire E Kelly,Sila Genc,Jian Chen,Joseph Yuan-Mou Yang,Ye Wu, Yifei He, Jiawei Zhang,Qingrun Zeng,Fan Zhang,Nagesh Adluru,Vishwesh Nath,Sudhir Pathak,Walter Schneider, Anurag Gade,Yogesh Rathi,Tom Hendriks,Anna Vilanova,Maxime Chamberland,Tomasz Pieciak, Dominika Ciupek,Antonio Tristán Vega,Santiago Aja-Fernández,Maciej Malawski, Gani Ouedraogo, Julia Machnio,Christian Ewert,Paul M Thompson,Neda Jahanshad,Eleftherios Garyfallidis,Bennett A Landman

CoRR (2024)

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Validation of Deep Learning Techniques for Quality Augmentation in Diffusion MRI for Clinical Studies

Santiago Aja‐Fernández,Carmen Martín-Martín,Tomasz Pieciak,Alvaro Planchuelo-Gomez,Abrar Faiyaz,Md Nasir Uddin,Abhishek Tiwari,Saurabh J. Shigwan,Tianshu Zheng,Zuozhen Cao,Stefano B. Blumberg,Snigdha Sen,Mehmet Yigit Avci, Zihan Li, Xinyi Wang,Zihao Tang,Amelie Rauland,Dorit Merhof, Maria Renata, Vinicius J. Campos,SeyyedKazem HashemizadehKolowri,Edward DiBella,Chenxu Peng,Zan Chen, Irfan Ullah,Merry Mani, Samuel Eckstrom,Steven H. Baete, Scifitto, Rajeev Singh,Dan Wu, Tobias Goodwin-Allcock,Paddy J. Slator,Berkin Bilgiç,Qiyuan Tian,Mariano Cabezas, Tales Santini, Marco Antônio Athayde De Aguiar Vieira, Zhimin Shen, Hesam Abdolmotalleby,Patryk Filipiak,Antonio Tristán‐Vega,Rodrigo de Luis‐García

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024)

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Software-oriented Collaborative Project-based Learning of Biomedical Signal Processing in Simulated Industry-like Conditions

Tomasz Pieciak,Piotr Augustyniak

crossref（2024）

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Validation of Deep Learning Techniques for Quality Augmentation in Diffusion MRI for Clinical Studies