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20192024
most citedAI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides

1 citations · 2 across the 6 of their papers we have counts for

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cs.CV2024

Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images

Kshitij Ingale, Sun Hae Hong, Qiyuan Hu +7

Molecular testing of tumor samples for targetable biomarkers is restricted by a lack of standardization, turnaround-time, cost, and tissue availability across cancer types. Additio…

cs.CV2023

Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images

Qiyuan Hu, Abbas A. Rizvi, Geoffery Schau +13

Microsatellite instability-high (MSI-H) is a tumor agnostic biomarker for immune checkpoint inhibitor therapy. However, MSI status is not routinely tested in prostate cancer, in pa…

cs.CV2023

Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images

Kshitij Ingale, Sun Hae Hong, Josh S. K. Bell +8

MET protein overexpression is a targetable event in non-small cell lung cancer (NSCLC) and is the subject of active drug development. Challenges in identifying patients for these t…

cs.CV20221 cited

AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides

Bolesław L. Osinski, Aïcha BenTaieb, Irvin Ho +8

To achieve minimum DNA input and tumor purity requirements for next-generation sequencing (NGS), pathologists visually estimate macrodissection and slide count decisions. Misestima…

cs.CV20221 cited

Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer

Rohan P. Joshi, Bolesław L. Osinski, Niha Beig +3

MET is a proto-oncogene whose somatic activation in non-small cell lung cancer leads to increased cell growth and tumor progression. The two major classes of MET alterations are ge…

cs.CV2021

Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data

Nathaniel Braman, Jacob W. H. Gordon, Emery T. Goossens +3

Clinical decision-making in oncology involves multimodal data such as radiology scans, molecular profiling, histopathology slides, and clinical factors. Despite the importance of t…