Raghu Machiraju
Computer Science · The Ohio State University
Publications
232
Citations
4,139
Est. group size
~4
Recurring co-author estimate
Active years
34
Publishing since 1993
Raghu Machiraju's research applies computer vision, image analysis, and machine learning methods to biomedical data, especially histology (tissue slide) images and other imaging modalities like CT scans and multi-omic biological data. Much of the work focuses on developing AI models to detect and characterize cancer (including prostate cancer, sarcoma, and glioma) from medical images, and on building datasets and pipelines to support this kind of analysis.
Publication output has fluctuated over the last decade, with a peak around 2018 and a dip in 2023, but recent years (2024-2026) show a renewed increase in output, averaging about 4 publications per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Prostate-TriMod: A Multi-Scale Tri-Modal Histology Dataset Integrating Morphology, Immune Patterns, and Clinical Outcomes
Open MIND · 2026
- Prostate-TriMod: A Multi-Scale Tri-Modal Histology Dataset Integrating Morphology, Immune Patterns, and Clinical Outcomes
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Multi-Scale Tri-Modal Histology Dataset Integrating Tumor Morphology, Immune Patterns, and Clinical Outcomes
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Novel AI model for soft tissue sarcoma prognostication using automated quantitative mitotic counts
Journal of Pathology Informatics · 2026
- Annotation-Free Prediction of Cancer Cells and Glands and Spatial Analysis of Immune Cells
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- An Orchestration Engine for Scalable, On-Demand AI Phenotyping from UAS Imagery in Agriculture
2025
- Pathologists’ Routine Fixations Can Be Used to Supervise Lymph Node Deep Learning Models
Journal of Vision · 2025
- AZGP1 deficiency promotes angiogenesis in prostate cancer
Journal of Translational Medicine · 2024
- Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images
Frontiers in Bioinformatics · 2024
- Consistent Multi-Omic Relationships Uncover Molecular Basis of Pediatric Asthma IgE Regulation
medRxiv · 2024
- Impact of CT-Derived Radiomics and Dosiomics on Survival Prognosis in Glioblastoma Patients
International Journal of Radiation Oncology*Biology*Physics · 2024
- EPCO-29. PATHOMICS ANALYSIS IDENTIFIES POTENTIAL SUBTYPES OF DIFFUSE GLIOMAS IN H&E-STAINED WHOLE-SLIDE IMAGES
Neuro-Oncology · 2024
- Finding Salient Multi-Omic Interactomes Relevant to Multiple Biomedical Outcomes using Graph Ensemble Neural Networks
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- IntLIM 2.0: identifying multi-omic relationships dependent on discrete or continuous phenotypic measurements
Bioinformatics Advances · 2023
- Improving Compound Activity Classification via Deep Transfer and Representation Learning
ACS Omega · 2022
- Figshare×10
- bioRxiv (Cold Spring Harbor Laboratory)×5
- Bioinformatics×3
- BMC Bioinformatics×3
- Neuro-Oncology×2
- Xavier Tricoche
Computer Science · Purdue University West Lafayette
- Steve Cutchin
Computer Science · Purdue University West Lafayette
- Daniel G. Aliaga
Computer Science · Purdue University West Lafayette
- Lifan Wu
Computer Science · Purdue University West Lafayette
- Roger Crawfis
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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