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Jonathan Posner
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2020 – today
- 2024
- [c3]Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. CVPR 2024: 5851-5862 - 2023
- [i2]Xuzhe Zhang, Yuhao Wu, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Hyagriv N. Simhan, Sonja Entringer, Pathik D. Wadhwa, Claudia Buss, Cristiane S. Duarte, Andrea Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI. CoRR abs/2303.09373 (2023) - 2022
- [j4]Yun Wang, Fateme Sadat Haghpanah, Xuzhe Zhang, Katie Santamaria, Gabriela Koch da Costa Aguiar Alves, Elizabeth Bruno, Natalie Aw, Alexis Maddocks, Cristiane S. Duarte, Catherine Monk, Andrew Laine, Jonathan Posner:
ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates. Brain Informatics 9(1): 12 (2022) - [j3]Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang:
PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers. IEEE Trans. Medical Imaging 41(10): 2925-2940 (2022) - 2021
- [j2]Yun Wang, Walter Hinds, Cristiane S. Duarte, Seonjoo Lee, Catherine Monk, Melanie Wall, Glorisa Canino, Ana Carolina C. Milani, Andrea Jackowski, Marina Griorgi Mamin, Bernd U. Foerster, Jay Gingrich, Myrna M. Weissman, Bradley S. Peterson, David Semanek, Edna Acosta Perez, Eduardo Labat, Ioannisely Berrios Torres, Camila Parente, Ivaldo Da Silva, Nitamar Abdala, Jonathan Posner:
Intra-session test-retest reliability of functional connectivity in infants. NeuroImage 239: 118284 (2021) - [c2]Nabil Ettehadi, Xuzhe Zhang, Yun Wang, David Semanek, Jia Guo, Jonathan Posner, Andrew F. Laine:
Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers. EMBC 2021: 2756-2760 - [i1]Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang:
PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer. CoRR abs/2105.13993 (2021) - 2020
- [c1]Seungwook Han, Yan Zhang, Yihui Ren, Jonathan Posner, Shinjae Yoo, Jiook Cha:
3D distributed deep learning framework for prediction of human intelligence from brain MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171X
2000 – 2009
- 2005
- [j1]Amir Raz, Baruch Lieber, Fatima Soliman, Jason Buhle, Jonathan Posner, Bradley S. Peterson, Michael I. Posner:
Ecological nuances in functional magnetic resonance imaging (fMRI): psychological stressors, posture, and hydrostatics. NeuroImage 25(1): 1-7 (2005)
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