Madabhushi, Anant, PhD

18192510_10155345121197318_7637864940710701758_oResearch Interests

  • Quantitative image analysis
  • Machine Learning
  • Theragnostics
  • Magnetic resonance imaging (MRI)
  • Cancer imaging
  • Breast cancer
  • Prostate cancer
  • Artificial Intelligence
  • Digital pathology

Professional Affiliations

  • Investigator, Cleveland FES Center
  • F. Alex Nason Professor II of Biomedical Engineering, Department of Biomedical Engineering, Case Western Reserve University School of Medicine
  • Professor, Departments of Pathology, Radiation Oncology, Radiology, & Urology, Case Western Reserve University School of Medicine
  • Director, Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University School of Engineering
  • Investigator, Louis Stokes Cleveland VA Medical Center

Publications (Select)

  • Peyster EG, Madabhushi A, Margulies KB. Advanced Morphologic Analysis for Diagnosing Allograft Rejection: The Case of Cardiac Transplant Rejection. Transplantation. 2018 Aug;102(8):1230-1239. doi: 10.1097/TP.0000000000002189. PubMed PMID: 29570167; PubMed Central PMCID: PMC6059998.
  • Antunes J, Viswanath S, Brady JT, Crawshaw B, Ros P, Steele S, Delaney CP, Paspulati R, Willis J, Madabhushi A. Coregistration of Preoperative MRI with Ex Vivo Mesorectal Pathology Specimens to Spatially Map Post-treatment Changes in Rectal Cancer Onto In Vivo Imaging: Preliminary Findings. Acad Radiol. 2018 Jul;25(7):833-841. doi: 10.1016/j.acra.2017.12.006. Epub 2018 Jan 19. PubMed PMID: 29371120.
  • Lu C, Romo-Bucheli D, Wang X, Janowczyk A, Ganesan S, Gilmore H, Rimm D, Madabhushi A. Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. Lab Invest. 2018 Jun 29. doi: 10.1038/s41374-018-0095-7. [Epub ahead of print] PubMed PMID: 29959421.
  • Carleton NM, Lee G, Madabhushi A, Veltri RW. Advances in the computational and molecular understanding of the prostate cancer cell nucleus. J Cell Biochem. 2018 Jun 20. doi: 10.1002/jcb.27156. [Epub ahead of print] PubMed PMID: 29923622.
  • Whitney J, Corredor G, Janowczyk A, Ganesan S, Doyle S, Tomaszewski J, Feldman M, Gilmore H, Madabhushi A. Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer. 2018 May 30;18(1):610. doi: 10.1186/s12885-018-4448-9. PubMed PMID: 29848291; PubMed Central PMCID: PMC5977541.
  • Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih N, Tomaszewski J, Madabhushi A, González F. High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection. PLoS One. 2018 May 24;13(5):e0196828. doi: 10.1371/journal.pone.0196828. eCollection 2018. PubMed PMID: 29795581; PubMed Central PMCID: PMC5967747.
  • Shiradkar R, Ghose S, Jambor I, Taimen P, Ettala O, Purysko AS, Madabhushi A. Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings. J Magn Reson Imaging. 2018 May 7. doi: 10.1002/jmri.26178. [Epub ahead of print] PubMed PMID: 29734484.
  • Nirschl JJ, Janowczyk A, Peyster EG, Frank R, Margulies KB, Feldman MD, Madabhushi A. A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue. PLoS One. 2018 Apr 3;13(4):e0192726. doi: 10.1371/journal.pone.0192726. eCollection 2018. PubMed PMID: 29614076; PubMed Central PMCID: PMC5882098.
  • Orooji M, Alilou M, Rakshit S, Beig N, Khorrami MH, Rajiah P, Thawani R, Ginsberg J, Donatelli C, Yang M, Jacono F, Gilkeson R, Velcheti V, Linden P, Madabhushi A. Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography. J Med Imaging (Bellingham). 2018 Apr;5(2):024501. doi: 10.1117/1.JMI.5.2.024501. Epub 2018 Apr 18. PubMed PMID: 29721515; PubMed Central PMCID: PMC5904542.
  • Algohary A, Viswanath S, Shiradkar R, Ghose S, Pahwa S, Moses D, Jambor I, Shnier R, Böhm M, Haynes AM, Brenner P, Delprado W, Thompson J, Pulbrock M, Purysko AS, Verma S, Ponsky L, Stricker P, Madabhushi A. Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings. J Magn Reson Imaging. 2018 Feb 22. doi: 10.1002/jmri.25983. [Epub ahead of print] PubMed PMID: 29469937.
  • Beig N, Patel J, Prasanna P, Hill V, Gupta A, Correa R, Bera K, Singh S, Partovi S, Varadan V, Ahluwalia M, Madabhushi A, Tiwari P. Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma. Sci Rep. 2018 Jan 8;8(1):7. doi: 10.1038/s41598-017-18310-0. PubMed PMID: 29311558; PubMed Central PMCID: PMC5758516.

Contact Information

Contact Name: Anant Madabhushi
Contact Number: (216) 368-8519
Contact Email: