Deep Learning Category
Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values
Apr. 13, 2025—Adam M. Saunders, Michael E. Kim, Chenyu Gao, Lucas W. Remedios, Aravind R. Krishnan, Kurt G. Schilling, Kristin P. O’Grady, Seth A. Smith, and Bennett A. Landman. Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values. Magnetic Resonance Imaging, 2025; 117:110322. https://doi.org/10.1016/j.mri.2025.110322. Abstract While typical qualitative T1-weighted magnetic resonance images...
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...
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...
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...
Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation
Dec. 1, 2023—Aravind R. Krishnan, Kaiwen Xu, Thomas Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Išgum, and Bennett A. Landman “Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation”, Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 129261D (2 April 2024); https://doi.org/10.1117/12.3006608 Abstract The reconstruction kernel in computed tomography (CT) generation determines the texture of the image. Consistency...
Predicting Age from White Matter Diffusivity with Residual Learning
Dec. 1, 2023—Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Išgum, Bennett A....
Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI
Dec. 1, 2023—Tian Yu, Yunhe Li, Michael E. Kim, Chenyu Gao, Qi Yang, Leon Y. Cai, Susane M. Resnick, Lori L. Beason-Held, Daniel C. Moyer, Kurt G. Schilling, Bennett A. Landman, “Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI”, SPIE Medical Imaging 2024 Full text: NIHMSID Abstract Diffusion MRI (dMRI) streamline tractography, the...
Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation
Sep. 1, 2023—Thomas Z. Li, Ho Hin Lee, Kaiwen Xu, Riqiang Gao, Benoit M. Dawant, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman. Journal of Medical Imaging 10(4), 044002 (2023), doi: 10.1117/1.JMI.10.4.044002. Full Text Abstract Introduction: Anatomy-based quantification of emphysema in a lung screening cohort has the potential to improve lung cancer risk stratification and risk communication....