Author

Robert Egger

Observed name: R. Egger

Institution: PathAI (United States)

Observed institution: PathAI (United States)

ORCID: 0009-0002-7802-5577

Observed ORCID: 0009-0002-7802-5577

OpenAlex ID: A5024291983

Deep learning-based quantification of collagen and associated features from H&E-stained whole slide pathology images across cancer types

2026 · Tan H. Nguyen, Jun Zhang, et al. · Communications Medicine · 3

Characterizing the histologic implications of resmetirom-induced liver volume reduction using artificial intelligence-powered digital pathology

2023 · Pratik Mistry, Adam Stanford-Moore, et al. · Journal of Hepatology · 3

P2.07-01 Deep-Learning Based Prediction of c-MET Status from Digitized H&E-Stained Non-Small Cell Lung Cancer Tissue Samples

2022 · D. Rajan, R. Egger, et al. · Journal of Thoracic Oncology · 2

Abstract 464: AI-powered segmentation and analysis of nuclei morphology predicts genomic and clinical markers in multiple cancer types

2022 · John Abel, Suyog Jain, et al. · Cancer Research · 2

Quantitative digital pathology reveals reversal of MASH-related liver damage following bariatric surgery

2026 · Alina Onoiu, Lara Murray, et al. · Research Square · 1

Association of machine learning (ML)–derived histological features with transcriptomic molecular subtypes in advanced renal cell carcinoma (RCC).

2024 · Niha Beig, Shima Nofallah, et al. · Journal of Clinical Oncology · 1

Abstract 6616: Development of a high-throughput image processing pipeline for multiplex immunofluorescence whole slide images at scale

2023 · Waleed Tahir, Emma Krause, et al. · Cancer Research · 1

Abstract 1922: Application of an interpretable graph neural network to predict gene expression signatures associated with tertiary lymphoid structures in histopathological images

2022 · Ciyue Shen, Collin Schlager, et al. · Cancer Research · 1

Abstract 76: IHCExplore: An AI-driven computational pathology platform for accurate and scalable immunohistochemistry scoring.

2026 · Kelsey Luu, Ciyue Shen, et al. · Cancer Research

Abstract 1455: Comparison of digital and artificial intelligence (AI)-computational algorithms for quantifying low/ultralow human epidermal growth factor receptor 2 (HER2) protein expression in metastatic breast cancer (mBC) from clinical samples.

2026 · Savitri Krishnamurthy, Dhanrajan Tiruchinapalli, et al. · Cancer Research

450 AI-Powered Digital Scoring of Chromogenic In Situ Hybridization for Detection of MET Gene Amplification

2026 · Guillaume Chhor, Jennifer Hipp, et al. · Laboratory Investigation

1561 Quantitative Multimodal Anisotropy Imaging (QMAI) Unveils and Quantifies Morphological Collagen Across Multiple Organ Systems

2025 · Raven Osborn, Nhat Le, et al. · Laboratory Investigation

Abstract B008: Machine-learning enabled quantification of colocalized multiplex IHC signals with spectral overlap

2023 · Waleed Tahir, Yibo Zhang, et al. · Molecular Cancer Therapeutics

Abstract 5422: Machine learning models identify key histological features of renal cell carcinoma subtypes

2023 · Samuel Vilchez, Isaac Finberg, et al. · Cancer Research

Works count: 14

Citation count: 14

H-index: 2

I10-index: