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Lucas W. Remedios
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2020 – today
- 2024
- [j2]Ruining Deng
, Can Cui
Cross-scale multi-instance learning for pathological image diagnosis. Medical Image Anal. 94: 103124 (2024) - [c12]Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. ISBI 2024: 1-5 - [i13]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:
Nucleus subtype classification using inter-modality learning. CoRR abs/2401.05602 (2024) - [i12]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:
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation. CoRR abs/2406.12254 (2024) - [i11]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:
Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. CoRR abs/2407.06116 (2024) - [i10]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:
Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI. CoRR abs/2409.04563 (2024) - 2023
- [j1]Ho Hin Lee
Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(9): 4444-4453 (2023) - [c11]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
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. MILLanD@MICCAI 2023: 82-92 - [c10]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:
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. MICCAI (6) 2023: 497-507 - [c9]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:
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. MIDL 2023: 1406-1422 - [c8]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:
Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. Digital and Computational Pathology 2023 - [c7]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:
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 2023 - [c6]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:
Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels. Digital and Computational Pathology 2023 - [i9]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:
Cross-scale Multi-instance Learning for Pathological Image Diagnosis. CoRR abs/2304.00216 (2023) - [i8]Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR abs/2304.04155 (2023) - [i7]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:
Exploring shared memory architectures for end-to-end gigapixel deep learning. CoRR abs/2304.12149 (2023) - [i6]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:
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning. CoRR abs/2306.00047 (2023) - [i5]Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo:
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. CoRR abs/2307.00290 (2023) - [i4]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:
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images. CoRR abs/2307.00750 (2023) - [i3]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:
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures. CoRR abs/2308.10166 (2023) - [i2]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:
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. CoRR abs/2309.12953 (2023) - 2022
- [c5]Ruining Deng
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. MMMI@MICCAI 2022: 24-33 - [c4]Shunxing Bao, Jia Li
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. MOVI@MICCAI 2022: 42-52 - [c3]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:
Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI. Image Processing 2022 - [c2]Lucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman:
Efficient quality control with mixed CT and CTA datasets. Image Processing 2022 - [i1]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:
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. CoRR abs/2208.07322 (2022) - 2021
- [c1]David W. Ludwig
A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning. ICTAI 2021: 97-104
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