Roza G. Bayrak

16 papers A* 2B 1Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI. MICCAI (1) Chang Li, Yamin Li, Haatef Pourmotabbed, Shengchao Zhang, Jorge Alberto Salas, Sarah E. Goodale, Roza G. Bayrak, Catie Chang
2025	J	`jnl`	Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction. CoRR Qinwen Ge, Roza G. Bayrak, Anwar Said, Catie Chang, Xenofon D. Koutsoukos, Tyler Derr
2024	A*	`conf`	NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping. NeurIPS Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang
2024	J	`jnl`	NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping. CoRR Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang
2024	J	`jnl`	Reconstructing physiological signals from fMRI across the adult lifespan. CoRR Shiyu Wang, Ziyuan Xu, Yamin Li, Mara Mather, Roza G. Bayrak, Catie Chang
2023	A*	`conf`	NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. NeurIPS Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
2023	J	`jnl`	NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. CoRR Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
2022	—	`conf`	Learning Subject-Specific Functional Parcellations from Cortical Surface Measures. PRIME@MICCAI Roza G. Bayrak, Ilwoo Lyu, Catie Chang
2021	—	`conf`	From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics. MICCAI (7) Roza G. Bayrak, Colin B. Hansen, Jorge Alberto Salas, Nafis Ahmed, Ilwoo Lyu, Yuankai Huo, Catie Chang
2021	J	`jnl`	Reconstruction of respiratory variation signals from fMRI data. NeuroImage Jorge Alberto Salas, Roza G. Bayrak, Yuankai Huo, Catie Chang
2021	J	`jnl`	Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi Gomez, Marco Pizzolato, Mario Ocampo-Pineda, Simona Schiavi, Erick Jorge Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio M. Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen J. Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attye, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed M. Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied A. Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Ping Hong Yeh, Rujirutana Srikanchana, Colin D. Mcknight, Joseph Yuan-Mou Yang, Jian Chen, Claire E. Kelly, Chun-Hung Yeh, Jérôme Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K. Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra J. Golby, Yogesh Rathi, Lauren J. O'Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramirez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D'Angelo, Fulvia Palesi, Giovanni Savini, Nicolò Rolandi, Pamela Guevara, Josselin Houenou, Narciso López-López, Jean-François Mangin, Cyril Poupon, Claudio Román, Andrea Vázquez, Chiara Maffei, Mavilde Arantes, José Paulo Andrade, Susana Maria Silva, Vince D. Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Yang Zhan, Edith Brignoni-Pérez, Catherine Lebel, Jess E. Reynolds, Igor Nestrasil, René Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah R. Heilbronner, Katja Heuer, Bramsh Qamar Chandio, Javier Guaje, Wei Tang, Eleftherios Garyfallidis, Rajikha Raja, Adam W. Anderson, Bennett A. Landman, Maxime Descoteaux
2020	—	`conf`	A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data. MICCAI (7) Roza G. Bayrak, Jorge Alberto Salas, Yuankai Huo, Catie Chang
2020	—	`conf`	PRAGMA: Interactively Constructing Functional Brain Parcellations. IEEE VIS (Short Papers) Roza G. Bayrak, Nhung Hoang, Colin B. Hansen, Catie Chang, Matthew Berger
2020	J	`jnl`	PRAGMA: Interactively Constructing Functional Brain Parcellations. CoRR Roza G. Bayrak, Nhung Hoang, Colin B. Hansen, Catie Chang, Matthew Berger
2019	B	`conf`	Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. Image Processing Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin B. Hansen, Roza G. Bayrak, Camilo Bermudez, Justin A. Blaber, Kurt G. Schilling, Vaibhav A. Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu, Owen A. Williams, Susan M. Resnick, Lori L. Beason-Held, Baxter P. Rogers, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman
2019	—	`conf`	Learning 3D White Matter Microstructure from 2D Histology. ISBI Vishwesh Nath, Kurt G. Schilling, Samuel Remedios, Roza G. Bayrak, Yurui Gao, Justin A. Blaber, Yuankai Huo, Bennett A. Landman, Adam W. Anderson