Jonathan Liu
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View article: Detection of prostate cancer in 3D pathology datasets via generative immunolabeling
Detection of prostate cancer in 3D pathology datasets via generative immunolabeling Open
Recent advancements in nondestructive 3D pathology offer a complement to standard histology by enabling comprehensive volumetric analyses of intact clinical specimens (e.g. biopsies). Prior studies have demonstrated the added prognostic va…
View article: Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments
Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments Open
Standard-of-care slide-based 2D histopathology severely undersamples spatially heterogeneous tissue specimens, with each thin 2D section representing <1% of the entire tissue volume (in the case of a biopsy). Recent advances in non-destruc…
View article: Delivery of a fibrin-binding hemostatic polymer ameliorates neurovascular damage and neural tissue loss after traumatic brain injury.
Delivery of a fibrin-binding hemostatic polymer ameliorates neurovascular damage and neural tissue loss after traumatic brain injury. Open
Traumatic brain injury (TBI) often induces blood leakage into brain tissues, which causes further tissue loss after the initial injury. To mitigate this secondary injury, we hypothesized that delivery of a fibrin-binding hemostatic polymer…
View article: Development and validation of a risk nomogram predicting pneumothorax requiring chest tube placement post-percutaneous CT-guided lung biopsy
Development and validation of a risk nomogram predicting pneumothorax requiring chest tube placement post-percutaneous CT-guided lung biopsy Open
View article: A Foundation Model for Spatial Proteomics
A Foundation Model for Spatial Proteomics Open
Foundation models have begun to transform image analysis by acting as pretrained generalist backbones that can be adapted to many tasks even when post-training data are limited, yet their impact on spatial proteomics, imaging that maps pro…
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: AI-driven 3D Spatial Transcriptomics
AI-driven 3D Spatial Transcriptomics Open
A comprehensive three-dimensional (3D) map of tissue architecture and gene expression is crucial for illuminating the complexity and heterogeneity of tissues across diverse biomedical applications. However, most spatial transcriptomics (ST…
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study Open
View article: LiverMap pipeline for 3D imaging of human liver reveals volumetric spatial dysregulation of cirrhotic vasculobiliary architecture
LiverMap pipeline for 3D imaging of human liver reveals volumetric spatial dysregulation of cirrhotic vasculobiliary architecture Open
The liver contains an intricate microstructure that is critical for liver function. Architectural disruption of this spatial structure is pathologic. Unfortunately, 2D histopathology – the gold standard for pathological understanding of ma…
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Best Overall Zone Paper: Zone IV - Innovations in Remote Teaching of Engineering Design Teams
Best Overall Zone Paper: Zone IV - Innovations in Remote Teaching of Engineering Design Teams Open
The University of Washington's Engineering Innovation in Health program is a yearlong engineering design course sequence where senior undergraduate and graduate engineering students across different disciplines work in teams with health pr…
View article: An Open-source Fine-tuned Large Language Model for Radiological Impression Generation: A Multi-reader Performance Study
An Open-source Fine-tuned Large Language Model for Radiological Impression Generation: A Multi-reader Performance Study Open
Background The impression section integrates key findings of a radiology report but can be subjective and variable. A fine-tuned open-source Large Language Model (LLM) was evaluated in its ability to generate radiological report impression…
View article: Long-acting HIV Treatments: Study Design, Logistics, and Access
Long-acting HIV Treatments: Study Design, Logistics, and Access Open
New long-acting HIV treatment products have the potential to change the HIV epidemic in the United States and globally. Phase 3 clinical trials of HIV treatments tend to underrepresent populations bearing a disproportionate burden of the H…
View article: Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments
Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments Open
Accurate patient diagnoses based on human tissue biopsies are hindered by current clinical practice, where pathologists assess only a limited number of thin 2D tissue slices sectioned from 3D volumetric tissue. Recent advances in non-destr…
View article: Institution of a difficult airway response team for emergency department patients with anticipated or encountered difficult airways: Descriptive analysis of a 5‐year experience at an academic teaching hospital
Institution of a difficult airway response team for emergency department patients with anticipated or encountered difficult airways: Descriptive analysis of a 5‐year experience at an academic teaching hospital Open
Our findings provide important insights regarding ED DART utilization and have implications when considering institution of a DART in the ED.
View article: Analysis of 3D pathology samples using weakly supervised AI
Analysis of 3D pathology samples using weakly supervised AI Open
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references