Improving the Robustness of Deep-Learning Models in Predicting Hematoma Expansion from Admission Head CT

Anh T. Tran, Gaby Abou Karam, Dorin Zeevi, Adnan I. Qureshi, Ajay Malhotra, Shahram Majidi, Santosh B. Murthy, Soojin Park, Despina Kontos, Guido J. Falcone, Kevin N. Sheth and Seyedmehdi Payabvash

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  • Published online January 10, 2025.


Author Information

  1. Anh T. Tran,
  2. Gaby Abou Karam,
  3. Dorin Zeevi,
  4. Adnan I. Qureshi,
  5. Ajay Malhotra,
  6. Shahram Majidi,
  7. Santosh B. Murthy,
  8. Soojin Park,
  9. Despina Kontos,
  10. Guido J. Falcone,
  11. Kevin N. Sheth and
  12. Seyedmehdi Payabvash
  1. From the Department of Radiology (A.T.T., D.Z., D.K., S. Payabvash) and Neurology (S. Park), NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University, New York, NY; Department of Radiology and Biomedical Imaging (G.A., A.M.) and Neurology (G.J.F., K.N.S.), Yale School of Medicine, New Haven, CT; Zeenat Qureshi Stroke Institute and Department of Neurology (A.I.Q.), University of Missouri, Columbia, MO; Department of Neurosurgery (S.M.), Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, NY; and Department of Neurology (S.B.M.), Weill Cornell Medical College, Cornell University, New York, NY.
  1. Please address correspondence to Seyedmehdi (Sam) Payabvash, MD, Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), Department of Radiology, Columbia University, 530 West 166th Street, 5th Floor, New York, NY; email: sp4479{at}columbia.edu; @SamPayabvash

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