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Lucas W Remedios

Showing results (1-10 of 44) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|October 28, 2022
Efficient Quality Control with Mixed CT and CTA DatasetsLucas W Remedios, Leon Y Cai, Colin B Hansen, et al.
Medical Physics|March 26, 2024
Lung CT harmonization of paired reconstruction kernel images using generative adversarial networksAravind R Krishnan, Kaiwen Xu, Thomas Z Li, et al.
Medical Physics|July 21, 2021
Comparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiographyLucas W Remedios, Sneha Lingam, Samuel W Remedios, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 26, 2025
The Medical Segmentation Decathlon without a DoctorateJessica Samir, Karthik Ramadass, Adam M Saunders, et al.
Journal of Physics. Conference Series|March 21, 2025
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based FinetuningCan Cui, Ruining Deng, Quan Liu, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 2, 2024
Identification of functional white matter networks in BOLD fMRIAlexa L Eby, Lucas W Remedios, Michael E Kim, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|August 18, 2025
CT CONTRAST PHASE IDENTIFICATION BY PREDICTING THE TEMPORAL ANGLE USING CIRCULAR REGRESSIONDingjie Su, Katherine D Van Schaik, Lucas W Remedios, et al.
Biorxiv : the Preprint Server for Biology|February 8, 2024
Identification of functional white matter networks in BOLD fMRIAlexa L Eby, Lucas W Remedios, Michael E Kim, et al.
IEEE Journal of Biomedical and Health Informatics|June 13, 2023
Semantic-Aware Contrastive Learning for Multi-Object Medical Image SegmentationHo Hin Lee, Yucheng Tang, Qi Yang, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 25, 2026
DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networksAdam M Saunders, Lucas W Remedios, Elyssa M McMaster, et al.
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
Proceedings of Spie--The International Society for Optical Engineering|October 28, 2022
Efficient Quality Control with Mixed CT and CTA DatasetsLucas W Remedios, Leon Y Cai, Colin B Hansen, et al.
Medical Physics|March 26, 2024
Lung CT harmonization of paired reconstruction kernel images using generative adversarial networksAravind R Krishnan, Kaiwen Xu, Thomas Z Li, et al.
Medical Physics|July 21, 2021
Comparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiographyLucas W Remedios, Sneha Lingam, Samuel W Remedios, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 26, 2025
The Medical Segmentation Decathlon without a DoctorateJessica Samir, Karthik Ramadass, Adam M Saunders, et al.
Journal of Physics. Conference Series|March 21, 2025
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based FinetuningCan Cui, Ruining Deng, Quan Liu, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 2, 2024
Identification of functional white matter networks in BOLD fMRIAlexa L Eby, Lucas W Remedios, Michael E Kim, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|August 18, 2025
CT CONTRAST PHASE IDENTIFICATION BY PREDICTING THE TEMPORAL ANGLE USING CIRCULAR REGRESSIONDingjie Su, Katherine D Van Schaik, Lucas W Remedios, et al.
Biorxiv : the Preprint Server for Biology|February 8, 2024
Identification of functional white matter networks in BOLD fMRIAlexa L Eby, Lucas W Remedios, Michael E Kim, et al.
IEEE Journal of Biomedical and Health Informatics|June 13, 2023
Semantic-Aware Contrastive Learning for Multi-Object Medical Image SegmentationHo Hin Lee, Yucheng Tang, Qi Yang, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 25, 2026
DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networksAdam M Saunders, Lucas W Remedios, Elyssa M McMaster, et al.
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