Lucas W. Remedios

According to our database, Lucas W. Remedios authored at least 24 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cross-scale multi-instance learning for pathological image diagnosis.

Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

Medical Image Anal., 2024

Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI.

Lucas W. Remedios, Han Liu, Samuel W. Remedios, Lianrui Zuo, Adam M. Saunders, Shunxing Bao, Yuankai Huo, Alvin C. Powers, John Virostko, Bennett A. Landman

CoRR, 2024

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology.

Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Nancy R. Newlin, Adam M. Saunders, 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

CoRR, 2024

Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation.

Xin Yu, Qi Yang, Han Liu, Ho Hin Lee, Yucheng Tang, Lucas W. Remedios, Michael E. Kim, Shunxing Bao, Ann Xenobia Moore, Luigi Ferrucci, Bennett A. Landman

CoRR, 2024

Nucleus subtype classification using inter-modality learning.

Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. 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

CoRR, 2024

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.

Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.

Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Leon Y. Cai, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Yuankai Huo

IEEE J. Biomed. Health Informatics, September, 2023

Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.

Aravind R. Krishnan, Kaiwen Xu, Thomas Z. Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Isgum, Bennett A. Landman

CoRR, 2023

Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.

Shunxing Bao, Sichen Zhu, Vasantha L. Kolachala, Lucas W. Remedios, Yeonjoo Hwang, Yutong Sun, Ruining Deng, Can Cui, Yike Li, Jia Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Subra Kugathasan, Peng Qiu, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

CoRR, 2023

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.

Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo

CoRR, 2023

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning.

Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yucheng Tang, Haichun Yang, Yuankai Huo

CoRR, 2023

Exploring shared memory architectures for end-to-end gigapixel deep learning.

Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman

CoRR, 2023

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.

Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo

CoRR, 2023

Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels.

Lucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data.

Can Cui, Shunxing Bao, Jia Li, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Sophie Chiron, Ken S. Lau, Yaohong Wang, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging.

Shunxing Bao, Can Cui, Jia Li, Yucheng Tang, Ho Hin Lee, Ruining Deng, Lucas W. Remedios, Xin Yu, Qi Yang, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Qi Liu, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.

Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Imaging with Deep Learning, 2023

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning.

Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.

Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022

Efficient quality control with mixed CT and CTA datasets.

Lucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI.

Karthik Ramadass, Francois Rheault, Leon Y. Cai, Lucas W. Remedios, Micah D'Archangel, Ilwoo Lyu, Laura A. Barquero, Allen T. Newton, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.

Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.

Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

2021

A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning.

David W. Ludwig, Lucas W. Remedios, Joshua L. Phillips

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021