Lucas W. Remedios

31 papers B 3Journal 19Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
CT Contrast Phase Identification by Predicting the Temporal Angle Using Circular Regression.
ISBI
Dingjie Su, Katherine D. Van Schaik, Lucas W. Remedios, Thomas Z. Li, Fabien Maldonado, Kim L. Sandler, Benoit M. Dawant, Bennett A. Landman
2025 J jnl
Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts.
CoRR
Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Alvin C. Powers, Bennett A. Landman, John Virostko
2025 J jnl
Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD.
CoRR
Aravind R. Krishnan, Yihao Liu, Kaiwen Xu, Michael E. Kim, Lucas W. Remedios, Gaurav Rudravaram, Adam M. Saunders, Bradley W. Richmond, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Lianrui Zuo
2025 J jnl
Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging.
CoRR
Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko
2025 J jnl
Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels.
CoRR
Aravind R. Krishnan, Thomas Z. Li, Lucas W. Remedios, Michael E. Kim, Chenyu Gao, Gaurav Rudravaram, Elyssa M. McMaster, Adam M. Saunders, Shunxing Bao, Kaiwen Xu, Lianrui Zuo, Kim L. Sandler, Fabien Maldonado, Yuankai Huo, Bennett A. Landman
2024 J jnl
Cross-scale multi-instance learning for pathological image diagnosis.
Medical Image Anal.
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
2024 J jnl
Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology.
CoRR
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
2024 J jnl
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation.
CoRR
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
2024 J jnl
Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI.
CoRR
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
2024 — conf
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.
ISBI
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
2024 J jnl
Nucleus subtype classification using inter-modality learning.
CoRR
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
2023 J jnl
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.
CoRR
Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo
2023 J jnl
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.
CoRR
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
2023 J jnl
Cross-scale Multi-instance Learning for Pathological Image Diagnosis.
CoRR
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
2023 — conf
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning.
MICCAI (6)
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
2023 J jnl
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning.
CoRR
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
2023 J jnl
Exploring shared memory architectures for end-to-end gigapixel deep learning.
CoRR
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
2023 — conf
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.
MILLanD@MICCAI
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
2023 J jnl
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images.
CoRR
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
2023 — conf
Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data.
Digital and Computational Pathology
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
2023 J jnl
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.
CoRR
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
2023 — conf
Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels.
Digital and Computational Pathology
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
2023 J jnl
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.
CoRR
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
2023 J jnl
Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Leon Y. Cai, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Yuankai Huo
2023 — conf
Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging.
Digital and Computational Pathology
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
2022 — conf
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.
MMMI@MICCAI
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
2022 J jnl
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.
CoRR
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
2022 B conf
Efficient quality control with mixed CT and CTA datasets.
Image Processing
Lucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman
2022 — conf
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.
MOVI@MICCAI
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
2022 B conf
Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI.
Image Processing
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
2021 B conf
A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning.
ICTAI
David W. Ludwig II, Lucas W. Remedios, Joshua L. Phillips