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Marlena Duda
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2020 – today
- 2024
- [c6]Marlena Duda, Oktay Agcaoglu, Vince D. Calhoun:
Dynamic Fusion of Multimodal MRI Data Captures Flexible, Time-Sensitive Structure-Function Linkages in the Brain. ISBI 2024: 1-4 - 2023
- [c5]Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan:
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. KDD 2023: 1223-1234 - [i2]Eloy Geenjaar, Donghyun Kim, Riyasat Ohib, Marlena Duda, Amrit Kashyap, Sergey M. Plis, Vince D. Calhoun:
Learning low-dimensional dynamics from whole-brain data improves task capture. CoRR abs/2305.14369 (2023) - [i1]Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan:
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. CoRR abs/2306.14375 (2023) - 2022
- [c4]Marlena Duda, Ashkan Faghiri, Vince D. Calhoun:
Multimodal Analysis Uncovers Links between Grey Matter Volume and both Low-and High-frequency Dynamic Connectivity States in Schizophrenia. BIBM 2022: 1521-1525 - [c3]Marlena Duda, Armin Iraji, Vince D. Calhoun:
Spatially Constrained ICA Enables Robust Detection of Schizophrenia from Very Short Resting-state fMRI. EMBC 2022: 1867-1870 - [c2]Ashkan Faghiri, Armin Iraji, Marlena Duda, Tülay Adali, Vince D. Calhoun:
A Unified Framework for Modularizing and Comparing Time-Resolved Functional Connectivity Methods. EMBC 2022: 4631-4634 - 2021
- [j1]Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021)
2010 – 2019
- 2019
- [c1]Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra:
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. KDD 2019: 772-782
Coauthor Index
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last updated on 2024-09-09 01:17 CEST by the dblp team
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