Siraj M. Ali

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

• AI-powered characterization of the tumor microenvironment landscape in HER2-overexpressing non–small cell lung cancer.

  Journal of Clinical Oncology · 2026-05-28

• Artificial intelligence–powered spatial analysis of endothelial cells and tumor-infiltrating lymphocytes to predict response to axitinib in adenoid cystic carcinoma.

  Journal of Clinical Oncology · 2026-05-27

• Abstract PD9-03: Comprehensive genomic profiling and clinically targetable mutations of metastatic invasive lobular and no special type breast cancer

  Clinical Cancer Research · 2026-02-17 · 1 citations

• Agreement Across 10 Artificial Intelligence Models in Assessing Human Epidermal Growth Factor Receptor 2 (HER2) Expression in Breast Cancer Whole-Slide Images

  Modern Pathology · 2026-01-05 · 3 citations

• Table 2 from Deep Learning Predicts <i>EGFR</i> Mutation Status from Histology Images in Non–Small Cell Lung CancerPreprint

  2025-12-08

• Supplementary Figure S3 from Deep Learning Predicts <i>EGFR</i> Mutation Status from Histology Images in Non–Small Cell Lung CancerPreprint

  2025-12-08

• Supplementary Figure S6 from Deep Learning Predicts <i>EGFR</i> Mutation Status from Histology Images in Non–Small Cell Lung CancerPreprint

  2025-12-08

• Supplementary Table S1 from Deep Learning Predicts <i>EGFR</i> Mutation Status from Histology Images in Non–Small Cell Lung Cancer

  2025-12-08

• Deep Learning Predicts <i>EGFR</i> Mutation Status from Histology Images in Non–Small Cell Lung Cancer

  Cancer Research Communications · 2025-11-10 · 5 citations

• 1347 AI-powered image-based spatial profiling of MET-mutated non-small cell lung cancer identifies immune-active MET exon 14 skipping subtypes as potential immunotherapy targets

  2025-11-01

• 1098 Unveiling spatial correlation between cell surface targets and lymphocytes via artificial intelligence (AI)-powered quantitative immunohistochemistry (IHC) analysis

  Regular and Young Investigator Award Abstracts · 2025-11-01

• Deep learning–powered H&amp;E whole-slide image analysis of endothelial cells to characterize tumor vascular environment and correlate treatment outcome to immunotherapy.

  Journal of Clinical Oncology · 2025-05-28 · 1 citations

• Artificial intelligence (AI)-powered evaluation of protein drug-targetability through subcellular-level expression profiling from immunohistochemistry (IHC) images.

  Journal of Clinical Oncology · 2025-05-28

• Abstract 2542: Artificial Intelligence(AI)-powered delineation of the prostate cancer surfaceome through subcellular-level expression profiling from immunohistochemistry (IHC) images

  Cancer Research · 2025-04-21

• CORRELATION OF MULTIDETECTOR COMPUTED TOMOGRAPHY AND TRANSTHORACIC ECHOCARDIOGRAPHY IN THE DIAGNOSIS OF CONGENITAL CYANOTIC HEART DISEASES

  Kashf Journal of Multidisciplinary Research · 2025-01-15

• A universal immunohistochemistry analyzer for generalizing AI-driven assessment of immunohistochemistry across immunostains and cancer types

  npj Precision Oncology · 2024-12-03 · 18 citations

• Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry AnalyzerPreprint

  arXiv (Cornell University) · 2024-07-30

• Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry AnalyzerPreprint

  medRxiv · 2024-07-16

• Expanding the landscape of oncogenic drivers and treatment options in acral and mucosal melanomas by targeted genomic profiling

  International Journal of Cancer · 2024-07-12 · 5 citations

• Patient-specific 3D in vitro modeling and fluid dynamic analysis of primary pulmonary vein stenosis

  Frontiers in Cardiovascular Medicine · 2024-07-04 · 8 citations