Search Results - "Remedios, Samuel W"

Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentation by Remedios, Samuel W., Roy, Snehashis, Bermudez, Camilo, Patel, Mayur B., Butman, John A., Landman, Bennett A., Pham, Dzung L.

“…Purpose As deep neural networks achieve more success in the wide field of computer vision, greater emphasis is being placed on the generalizations of these…”
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Automated Classification of Resting-State fMRI ICA Components Using a Deep Siamese Network by Chou, Yiyu, Chang, Catie, Remedios, Samuel W, Butman, John A, Chan, Leighton, Pham, Dzung L

“…Manual classification of functional resting state networks (RSNs) derived from Independent Component Analysis (ICA) decomposition can be labor intensive and…”
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No ultrasounds detected from fungi when dehydrated by Phillips, Neil, Remedios, Samuel W., Nikolaidou, Anna, Baracskai, Zlatko, Adamatzky, Andrew

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ESPRESO: An algorithm to estimate the slice profile of a single magnetic resonance image by Han, Shuo, Remedios, Samuel W., Schär, Michael, Carass, Aaron, Prince, Jerry L.

“…•An image-specific slice profile is estimated for a 2D multi-slice MR acquisition.•The slice profile is learned by matching distributions of internal patches…”
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Enlarged perivascular space burden associations with arterial stiffness and cognition by Bown, Corey W., Khan, Omair A., Liu, Dandan, Remedios, Samuel W., Pechman, Kimberly R., Terry, James G, Nair, Sangeeta, Davis, L. Taylor, Landman, Bennett A., Gifford, Katherine A., Hohman, Timothy J., Carr, John Jeffrey, Jefferson, Angela L.

“…Enlarged perivascular spaces (ePVS) are difficult to quantify, and their etiologies and consequences are poorly understood. Vanderbilt Memory and Aging Project…”
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Comparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiography by Remedios, Lucas W., Lingam, Sneha, Remedios, Samuel W., Gao, Riqiang, Clark, Stephen W., Davis, Larry T., Landman, Bennett A.

“…Purpose Artificial intelligence diagnosis and triage of large vessel occlusion may quicken clinical response for a subset of time‐sensitive acute ischemic…”
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HACA3: A unified approach for multi-site MR image harmonization by Zuo, Lianrui, Liu, Yihao, Xue, Yuan, Dewey, Blake E., Remedios, Samuel W., Hays, Savannah P., Bilgel, Murat, Mowry, Ellen M., Newsome, Scott D., Calabresi, Peter A., Resnick, Susan M., Prince, Jerry L., Carass, Aaron

“…The lack of standardization and consistency of acquisition is a prominent issue in magnetic resonance (MR) imaging. This often causes undesired contrast…”
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Generalizing deep whole-brain segmentation for post-contrast MRI with transfer learning by Bermudez, Camilo, Remedios, Samuel W, Ramadass, Karthik, McHugo, Maureen, Heckers, Stephan, Huo, Yuankai, Landman, Bennett A

“…Purpose: Generalizability is an important problem in deep neural networks, especially with variability of data acquisition in clinical magnetic resonance…”
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Technical Note: Comparison of Convolutional Neural Networks for Detecting Large Vessel Occlusion on Computed Tomography Angiography by Remedios, Lucas W., Lingam, Sneha, Remedios, Samuel W., Gao, Riqiang, Clark, Stephen W., Davis, Larry T., Landman, Bennett A.

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Distributed Deep Learning Across Multi-site Datasets for Generalized CT Hemorrhage Segmentation by Remedios, Samuel W., Roy, Snehashis, Bermudez, Camilo, Patel, Mayur B., Butman, John A., Landman, Bennett A., Pham, Dzung L.

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Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion by Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E., Remedios, Samuel W., Pham, Dzung L., Carass, Aaron, Prince, Jerry L.

“…Automatic multiple sclerosis (MS) lesion segmentation using multi-contrast magnetic resonance (MR) images provides improved efficiency and reproducibility…”
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Unique MS Lesion Identification from MRI by Rivas, Carlos A, Zhang, Jinwei, Wei, Shuwen, Remedios, Samuel W, Carass, Aaron, Prince, Jerry L

“…Unique identification of multiple sclerosis (MS) white matter lesions (WMLs) is important to help characterize MS progression. WMLs are routinely identified…”
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AniRes2D: Anisotropic Residual-enhanced Diffusion for 2D MR Super-Resolution by Wu, Zejun, Remedios, Samuel W, Dewey, Blake E, Carass, Aaron, Prince, Jerry L

“…Anisotropic low-resolution (LR) magnetic resonance (MR) images are fast to obtain but hinder automated processing. We propose to use denoising diffusion…”
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Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion by Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E, Remedios, Samuel W, Pham, Dzung L, Carass, Aaron, Prince, Jerry L

“…Automatic multiple sclerosis (MS) lesion segmentation using multi-contrast magnetic resonance (MR) images provides improved efficiency and reproducibility…”
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Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI by Remedios, Lucas W, Liu, Han, Remedios, Samuel W, Zuo, Lianrui, Saunders, Adam M, Bao, Shunxing, Huo, Yuankai, Powers, Alvin C, Virostko, John, Landman, Bennett A

“…Multimodal fusion promises better pancreas segmentation. However, where to perform fusion in models is still an open question. It is unclear if there is a best…”
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Beyond MR Image Harmonization: Resolution Matters Too by Hays, Savannah P, Remedios, Samuel W, Zuo, Lianrui, Mowry, Ellen M, Newsome, Scott D, Calabresi, Peter A, Carass, Aaron, Dewey, Blake E, Prince, Jerry L

“…Magnetic resonance (MR) imaging is commonly used in the clinical setting to non-invasively monitor the body. There exists a large variability in MR imaging due…”
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Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation by Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E, Remedios, Samuel W, Hays, Savannah P, Pham, Dzung L, Prince, Jerry L, Carass, Aaron

“…Deep learning algorithms utilizing magnetic resonance (MR) images have demonstrated cutting-edge proficiency in autonomously segmenting multiple sclerosis (MS)…”
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Deep filter bank regression for super-resolution of anisotropic MR brain images by Remedios, Samuel W, Han, Shuo, Xue, Yuan, Carass, Aaron, Tran, Trac D, Pham, Dzung L, Prince, Jerry L

“…In 2D multi-slice magnetic resonance (MR) acquisition, the through-plane signals are typically of lower resolution than the in-plane signals. While…”
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Exploring shared memory architectures for end-to-end gigapixel deep learning by Remedios, Lucas W, Cai, Leon Y, Remedios, Samuel W, Ramadass, Karthik, Krishnan, Aravind, Deng, Ruining, Cui, Can, Bao, Shunxing, Coburn, Lori A, Huo, Yuankai, Landman, Bennett A

“…Deep learning has made great strides in medical imaging, enabled by hardware advances in GPUs. One major constraint for the development of new models has been…”
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Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement by Lee, Ho Hin, Saunders, Adam M, Kim, Michael E, Remedios, Samuel W, Remedios, Lucas W, Tang, Yucheng, Yang, Qi, Yu, Xin, Bao, Shunxing, Cho, Chloe, Mawn, Louise A, Rex, Tonia S, Schey, Kevin L, Dewey, Blake E, Spraggins, Jeffrey M, Prince, Jerry L, Huo, Yuankai, Landman, Bennett A

“…J. Med. Imag. 11(6), 064004 (2024) Purpose: Eye morphology varies significantly across the population, especially for the orbit and optic nerve. These…”
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