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Jonathan T C Liu

Showing results (91-100 of 101) with videos related to

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Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|May 26, 2026
AI-Informed Architectural Insights of Three-Dimensional Glandular Networks Identify Prostate Cancer Patients at a Higher Risk of Biochemical RecurrenceJennifer Salguero-Lopez, Sebastian Medina, Robert Serafin, et al.
Biorxiv : the Preprint Server for Biology|August 14, 2023
An end-to-end workflow for non-destructive 3D pathologyKevin W Bishop, Lindsey A Erion Barner, Qinghua Han, et al.
Nature Protocols|January 24, 2024
An end-to-end workflow for nondestructive 3D pathologyKevin W Bishop, Lindsey A Erion Barner, Qinghua Han, et al.
Biorxiv : the Preprint Server for Biology|May 7, 2026
High-throughput, organ-scale 3D tubule tracking using TubuleMAPChetan Poudel, David Brenes, Wenhui Xie, et al.
Nature Communications|July 6, 2019
Multi-immersion open-top light-sheet microscope for high-throughput imaging of cleared tissuesAdam K Glaser, Nicholas P Reder, Ye Chen, et al.
Cell|May 10, 2024
Analysis of 3D pathology samples using weakly supervised AIAndrew H Song, Mane Williams, Drew F K Williamson, et al.
Cancer Research|December 2, 2021
Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning-Assisted Gland AnalysisWeisi Xie, Nicholas P Reder, Can Koyuncu, et al.
Biorxiv : the Preprint Server for Biology|August 8, 2025
Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessmentsGan Gao, Renao Yan, Andrew H Song, et al.
Biorxiv : the Preprint Server for Biology|December 3, 2025
3D pathology-guided microdissectionHuai-Ching Hsieh, Gan Gao, Qinghua Han, et al.
Nature Methods|June 22, 2026
3D pathology-guided microdissectionHuai-Ching Hsieh, Gan Gao, Qinghua Han, et al.
Pageof 11

Showing results (91-100 of 101) with videos related to

Sort By:
Pageof 11
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|May 26, 2026
AI-Informed Architectural Insights of Three-Dimensional Glandular Networks Identify Prostate Cancer Patients at a Higher Risk of Biochemical RecurrenceJennifer Salguero-Lopez, Sebastian Medina, Robert Serafin, et al.
Biorxiv : the Preprint Server for Biology|August 14, 2023
An end-to-end workflow for non-destructive 3D pathologyKevin W Bishop, Lindsey A Erion Barner, Qinghua Han, et al.
Nature Protocols|January 24, 2024
An end-to-end workflow for nondestructive 3D pathologyKevin W Bishop, Lindsey A Erion Barner, Qinghua Han, et al.
Biorxiv : the Preprint Server for Biology|May 7, 2026
High-throughput, organ-scale 3D tubule tracking using TubuleMAPChetan Poudel, David Brenes, Wenhui Xie, et al.
Nature Communications|July 6, 2019
Multi-immersion open-top light-sheet microscope for high-throughput imaging of cleared tissuesAdam K Glaser, Nicholas P Reder, Ye Chen, et al.
Cell|May 10, 2024
Analysis of 3D pathology samples using weakly supervised AIAndrew H Song, Mane Williams, Drew F K Williamson, et al.
Cancer Research|December 2, 2021
Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning-Assisted Gland AnalysisWeisi Xie, Nicholas P Reder, Can Koyuncu, et al.
Biorxiv : the Preprint Server for Biology|August 8, 2025
Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessmentsGan Gao, Renao Yan, Andrew H Song, et al.
Biorxiv : the Preprint Server for Biology|December 3, 2025
3D pathology-guided microdissectionHuai-Ching Hsieh, Gan Gao, Qinghua Han, et al.
Nature Methods|June 22, 2026
3D pathology-guided microdissectionHuai-Ching Hsieh, Gan Gao, Qinghua Han, et al.
Pageof 11