Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement
Nov. 6, 2024—Ho Hin Lee, Adam M. Saunders, Michael E. Kim, Samuel W. Remedios, Lucas W. Remedios, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Chloe Cho, Louise A. Mawn, Tonia S. Rex, Kevin L. Schey, Blake E. Dewey, Jeffrey M. Spraggins, Jerry L. Prince, Yuankai Huo, Bennett A. Landman, Super-resolution multi-contrast unbiased eye atlases with deep...
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
Sep. 3, 2024—Newlin, N. R., Schilling, K., Koudoro, S., Chandio, B. Q., Kanakaraj, P., Moyer, D., Kelly, C. E., Genc, S., Chen, J., Yang, J. Y.-M., Wu, Y., He, Y., Zhang, J., Zeng, Q., Zhang, F., Adluru, N., Nath, V., Pathak, S., Schneider, W., … Landman, B. A. (2024). MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust...
Field-of-view extension for brain diffusion MRI via deep generative models
Jul. 1, 2024—Chenyu Gao, Shunxing Bao, Michael E Kim, Nancy R Newlin, Praitayini Kanakaraj, Tianyuan Yao, Gaurav Rudravaram, Yuankai Huo, Daniel Moyer, Kurt Schilling, Walter A Kukull, Arthur W Toga, Derek B Archer, Timothy J Hohman, Bennett A Landman, Zhiyuan Li. “Field-of-view extension for brain diffusion MRI via deep generative models”. Journal of Medical Imaging 11 (4),...
Characterizing patterns of diffusion tensor imaging variance in aging brains
Jul. 1, 2024—Chenyu Gao, Qi Yang, Michael E Kim, Nazirah Mohd Khairi, Leon Y Cai, Nancy R Newlin, Praitayini Kanakaraj, Lucas W Remedios, Aravind R Krishnan, Xin Yu, Tianyuan Yao, Panpan Zhang, Kurt G Schilling, Daniel Moyer, Derek B Archer, Susan M Resnick, Bennett A Landman, for the Alzheimer’s Disease Neuroimaging Initiative, the BIOCARD Study team. “Characterizing...
Empirical Assessment of the Assumptions of ComBat with Diffusion Tensor Imaging
May. 24, 2024—Michael E. Kim, Chenyu Gao, Leon Y. Cai, Qi Yang, Nancy R. Newlin, Karthik Ramadass, Angela Jefferson, Derek Archer, Niranjana Shashikumar, Kimberly R. Pechman, Katherine A. Gifford, Timothy J. Hohman, Lori L. Beason-Held, Susan M. Resnick, Stefan Winzeck, Kurt G. Schilling, Panpan Zhang, Daniel Moyer, Bennett A. Landman, Empirical assessment of the assumptions of ComBat...
Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks
Apr. 24, 2024—Aravind R. Krishnan, Kaiwen Xu, Thomas Li, Lucas W. Remedios, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman. “Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks.”Med Phys. 2024;1-14.https://doi.org/10.1002/mp.17028 Abstract Background The kernel used in CT image reconstruction is an important factor that determines the texture of the CT image. Consistency of reconstruction...
Assessment of subject head motion in diffusion MRI
Apr. 2, 2024—Ema Topolnjak, Chenyu Gao, Lori L Beason-Held, Susan M Resnick, Kurt G Schilling, Bennett A Landman. “Assessment of subject head motion in diffusion MRI”. Medical Imaging 2024: Image Processing 12926, 327-334, https://doi.org/10.1117/12.3006633 Abstract Subject head motion during the acquisition of diffusion-weighted imaging (DWI) of the brain induces artifacts and affects image quality. Information about the...
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration
Dec. 20, 2023—Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Yuankai Huo, and Bennett A. Landman. “Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration.” SPIE Medical Imaging 2024 Full text: NIHMSID Abstract: Whole brain segmentation with magnetic resonance imaging (MRI) enables the non-invasive measurement of brain regions, including total intracranial volume (TICV) and...
Nucleus subtype classification using inter-modality learning
Dec. 19, 2023—Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman (2024). Nucleus subtype classification using inter-modality learning. SPIE Medical Imaging 2024 :...
Exploring shared memory architectures for end-to-end gigapixel deep learning
Dec. 19, 2023—Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman (2023). Exploring shared memory architectures for end-to-end gigapixel deep learning. MIDL 2023 short paper track Full text: NIHMSID Abstract Deep learning has made great strides in medical imaging, enabled by hardware advances in GPUs. One major constraint for the development...