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2020 – today
- 2023
[j10]Antonio Tristán-Vega
, Tomasz Pieciak, Guillem París, Justino R. Rodríguez-Galván, Santiago Aja-Fernández:
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding. Medical Image Anal. 84: 102728 (2023)- [j9]Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojcic, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G. Schilling, Bennett A. Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M. Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete, Erick Hernandez-Gutierrez, Alonso Ramirez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Sina Mansour L, Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick Jorge Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi Gomez, Remy Gardier, Juan Luis Villarreal-Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran:
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. NeuroImage 277: 120231 (2023) - [j8]Tomasz Pieciak, Guillem París, Dani Beck, Ivan I. Maximov, Antonio Tristán-Vega, Rodrigo de Luis García, Lars T. Westlye, Santiago Aja-Fernández:
Spherical means-based free-water volume fraction from diffusion MRI increases non-linearly with age in the white matter of the healthy human brain. NeuroImage 279: 120324 (2023) - 2022
- [j7]Santiago Aja-Fernández, Tomasz Pieciak, Carmen Martín-Martín, Álvaro Planchuelo-Gómez, Rodrigo de Luis García, Antonio Tristán-Vega:
Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA. Medical Image Anal. 77: 102356 (2022) - [e2]Suheyla Cetin Karayumak, Daan Christiaens, Matteo Figini, Pamela Guevara, Tomasz Pieciak, Elizabeth Powell, Francois Rheault:
Computational Diffusion MRI - 13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13722, Springer 2022, ISBN 978-3-031-21205-5 [contents] - 2021
- [j6]Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan C. Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling:
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240: 118367 (2021) - [e1]Suheyla Cetin Karayumak, Daan Christiaens, Matteo Figini, Pamela Guevara, Noemi G. Gyori, Vishwesh Nath, Tomasz Pieciak:
Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13006, Springer 2021, ISBN 978-3-030-87614-2 [contents] - 2020
- [c7]Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan:
Glioma Classification Using Multimodal Radiology and Histology Data. BrainLes@MICCAI (2) 2020: 508-518 - [i1]Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan:
Glioma Classification Using Multimodal Radiology and Histology Data. CoRR abs/2011.05410 (2020)
2010 – 2019
- 2019
- [c6]Tomasz Pieciak, Fabian Bogusz, Antonio Tristán-Vega, Rodrigo de Luis García, Santiago Aja-Fernández:
Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed Noise. ISBI 2019: 131-134 - 2018
- [c5]Tomasz Pieciak, Inaki Rabanillo-Viloria, Santiago Aja-Fernández:
Bias correction for non-stationary noise filtering in MRI. ISBI 2018: 307-310 - 2017
- [j5]Tomasz Pieciak, Santiago Aja-Fernández, Gonzalo Vegas-Sánchez-Ferrero:
Non-Stationary Rician Noise Estimation in Parallel MRI Using a Single Image: A Variance-Stabilizing Approach. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 2015-2029 (2017) - 2016
- [c4]Tomasz Pieciak, Gonzalo Vegas-Sánchez-Ferrero, Santiago Aja-Fernández:
Variance stabilization of noncentral-chi data: Application to noise estimation in MRI. ISBI 2016: 1376-1379 - 2015
- [j4]Santiago Aja-Fernández, Tomasz Pieciak, Gonzalo Vegas-Sánchez-Ferrero:
Spatially variant noise estimation in MRI: A homomorphic approach. Medical Image Anal. 20(1): 184-197 (2015) - 2014
- [c3]Tomasz Pieciak:
The maximum spacing noise estimation in single-coil background MRI data. ICIP 2014: 1743-1747 - 2013
- [c2]Tomasz Pieciak:
3D Bilateral Filtering of Cardiac DT-MRI Data. CinC 2013: 579-582 - 2012
- [c1]Tomasz Pieciak:
Segmentation of the Left Ventricle Using Active Contour Method with Gradient Vector Flow Forces in Short-Axis MRI. ITIB 2012: 24-35 - 2011
- [j3]Tomasz Pieciak, Joanna Jaworek, Marek Gorgon:
Neural Networks for Medical Image Processing. Bio Algorithms Med Syst. 7(4): 101-110 (2011) - 2010
- [j2]Tomasz Pieciak:
Myocardial Segmentation Based on Magnetic Resonance Sequences. Bio Algorithms Med Syst. 6(12): 85-90 (2010) - [j1]Tomasz Pieciak:
Myocardial segmentation based on magnetic resonance sequences. Bio Algorithms Med Syst. 6(12-S): 157-158 (2010)
Coauthor Index
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