A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning. - David W. Ludwig II; Lucas W. Remedios; Joshua L. Phillips (ICTAI, 2021)

MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. - Shunxing Bao; Jia Li 027; Can Cui 006; Yucheng Tang; Ruining Deng; Lucas W. Remedios; Ho Hin Lee; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; Lori A. Coburn; Keith T. Wilson; et al. (MOVI@MICCAI, 2022)

Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. - Ruining Deng; Can Cui 006; Lucas W. Remedios; Shunxing Bao; R. Michael Womick; Sophie Chiron; Jia Li 027; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Keith T. Wilson; Yaohong Wang; et al. (MMMI@MICCAI, 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 (Image Processing, 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 (Image Processing, 2022)

Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. - Can Cui 006; Yaohong Wang; Shunxing Bao; Yucheng Tang; Ruining Deng; Lucas W. Remedios; Zuhayr Asad; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Lori A. Coburn; Keith T. Wilson; et al. (MILLanD@MICCAI, 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 002; Can Cui 006; Yaohong Wang; Yihan Wang; Yucheng Tang; et al. (MICCAI (6), 2023)

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. - Shunxing Bao; Ho Hin Lee; Qi Yang 004; Lucas Walker Remedios; Ruining Deng; Can Cui 006; Leon Yichen Cai; Kaiwen Xu; Xin Yu 010; Sophie Chiron; Yike Li; Nathan Heath Patterson; et al. (MIDL, 2023)

Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. - Shunxing Bao; Can Cui 006; Jia Li 027; Yucheng Tang; Ho Hin Lee; Ruining Deng; Lucas W. Remedios; Xin Yu 010; Qi Yang 004; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; et al. (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 006; Shunxing Bao; Jia Li 027; Ruining Deng; Lucas W. Remedios; Zuhayr Asad; Sophie Chiron; Ken S. Lau; Yaohong Wang; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; et al. (Digital and Computational Pathology, 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 006; Sophie Chiron; Ken S. Lau; Joseph T. Roland; Mary K. Washington; Lori A. Coburn; et al. (Digital and Computational Pathology, 2023)

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. - Ruining Deng; Can Cui 006; Quan Liu 002; Tianyuan Yao; Lucas W. Remedios; Shunxing Bao; Bennett A. Landman; Lee E. Wheless; Lori A. Coburn; Keith T. Wilson; Yaohong Wang; Shilin Zhao; et al. (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 006; Shunxing Bao; Lori A. Coburn; Yuankai Huo; Bennett A. Landman (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 002; Can Cui 006; Yucheng Tang; Haichun Yang; Yuankai Huo (CoRR, 2023)

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. - Can Cui 006; Ruining Deng; Quan Liu 002; Tianyuan Yao; Shunxing Bao; Lucas W. Remedios; Yucheng Tang; Yuankai Huo (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 006; Yike Li; Jia Li 027; Joseph T. Roland; Qi Liu 024; et al. (CoRR, 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)

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation. - Ho Hin Lee; Yucheng Tang; Qi Yang 004; Xin Yu 010; Leon Y. Cai; Lucas W. Remedios; Shunxing Bao; Bennett A. Landman; Yuankai Huo (IEEE J. Biomed. Health Informatics, 2023)

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. - Shunxing Bao; Junlin Guo; Ho Hin Lee; Ruining Deng; Can Cui 006; Lucas W. Remedios; Quan Liu 002; Qi Yang 004; Kaiwen Xu; Xin Yu 010; Jia Li 027; Yike Li; et al. (ISBI, 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 006; Jia Li 027; Qi Liu 024; Ken S. Lau; Joseph T. Roland; et al. (CoRR, 2024)

Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation. - Xin Yu 010; Qi Yang 004; 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)

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 006; Jia Li 027; Qi Liu 024; et al. (CoRR, 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)

Cross-scale multi-instance learning for pathological image diagnosis. - Ruining Deng; Can Cui 006; Lucas W. Remedios; Shunxing Bao; R. Michael Womick; Sophie Chiron; Jia Li 027; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Keith T. Wilson; Yaohong Wang; et al. (Medical Image Anal., 2024)

CT Contrast Phase Identification by Predicting the Temporal Angle Using Circular Regression. - Dingjie Su; Katherine D. Van Schaik; Lucas W. Remedios; Thomas Z. Li; Fabien Maldonado; Kim L. Sandler; Benoit M. Dawant; Bennett A. Landman (ISBI, 2025)

Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD. - 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 (CoRR, 2025)

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels. - 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; et al. (CoRR, 2025)

Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts. - 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; et al. (CoRR, 2025)

Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging. - 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; et al. (CoRR, 2025)