Myocardial segmentation based on magnetic resonance sequences. - Tomasz Pieciak (Bio Algorithms Med Syst., 2010)

Neural Networks for Medical Image Processing. - Tomasz Pieciak; Joanna Jaworek; Marek Gorgon (Bio Algorithms Med Syst., 2011)

Segmentation of the Left Ventricle Using Active Contour Method with Gradient Vector Flow Forces in Short-Axis MRI. - Tomasz Pieciak (ITIB, 2012)

3D Bilateral Filtering of Cardiac DT-MRI Data. - Tomasz Pieciak (CinC, 2013)

The maximum spacing noise estimation in single-coil background MRI data. - Tomasz Pieciak (ICIP, 2014)

Spatially variant noise estimation in MRI: A homomorphic approach. - Santiago Aja-Fernández; Tomasz Pieciak; Gonzalo Vegas-Sánchez-Ferrero (Medical Image Anal., 2015)

Variance stabilization of noncentral-chi data: Application to noise estimation in MRI. - Tomasz Pieciak; Gonzalo Vegas-Sánchez-Ferrero; Santiago Aja-Fernández (ISBI, 2016)

Non-Stationary Rician Noise Estimation in Parallel MRI Using a Single Image: A Variance-Stabilizing Approach. - Tomasz Pieciak; Santiago Aja-Fernández; Gonzalo Vegas-Sánchez-Ferrero (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Bias correction for non-stationary noise filtering in MRI. - Tomasz Pieciak; Inaki Rabanillo-Viloria; Santiago Aja-Fernández (ISBI, 2018)

Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed Noise. - Tomasz Pieciak; Fabian Bogusz; Antonio Tristán-Vega; Rodrigo de Luis García; Santiago Aja-Fernández (ISBI, 2019)

Glioma Classification Using Multimodal Radiology and Histology Data. - Azam Hamidinekoo; Tomasz Pieciak; Maryam Afzali; Otar Akanyeti; Yinyin Yuan (BrainLes@MICCAI (2), 2020)

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. - Alberto De Luca; Andrada Ianus; Alexander Leemans; Marco Palombo; Noam Shemesh; Hui Zhang 005; Daniel C. Alexander; Markus Nilsson; Martijn Froeling; Geert Jan Biessels; Mauro Zucchelli; Matteo Frigo; et al. (NeuroImage, 2021)

Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA. - Santiago Aja-Fernández; Tomasz Pieciak; Carmen Martín-Martín; Álvaro Planchuelo-Gómez; Rodrigo de Luis García; Antonio Tristán-Vega (Medical Image Anal., 2022)

HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding. - Antonio Tristán-Vega; Tomasz Pieciak; Guillem París; Justino R. Rodríguez-Galván; Santiago Aja-Fernández (Medical Image Anal., 2023)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. - 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; et al. (NeuroImage, 2023)

Spherical means-based free-water volume fraction from diffusion MRI increases non-linearly with age in the white matter of the healthy human brain. - Tomasz Pieciak; Guillem París; Dani Beck; Ivan I. Maximov; Antonio Tristán-Vega; Rodrigo de Luis García; Lars T. Westlye; Santiago Aja-Fernández (NeuroImage, 2023)

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 001; Nagesh Adluru; Vishwesh Nath; et al. (CDMRI@MICCAI, 2024)

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; et al. (CoRR, 2024)