Biomedical imaging with deep learning
Deep learning for clinical ultrasound and thermal imaging
Application of deep learning to clinical imaging modalities, in collaboration with Dr. Oshrit Hoffer
Topics:
- Ultrasound and thermal imaging.
Representative publications:
- D. Carter, D. Bykhovsky, A. Hasky, I. Mamistvalov, Y. Zimmer, E. Ram and O. Hoffer, “Convolutional neural network deep learning model accurately detects rectal cancer in endoanal ultrasounds,” Techniques in Coloproctology, vol. 28, no. 44, pp. 1–7, 2024. doi:10.1007/s10151-024-02941-8
- O. Hoffer, M. Cohen, M. Gerstein, V. Shkalim Zemer, Y. Reichenberg, D. Bykhovsky, M. Hoshen, H. A. Cohen, “Novel Diagnostic Approach for Acute Pharyngitis: Combining Machine Learning With Thermal Imaging,” Journal of Biophotonics, vol. 17, no. 12, p. e202400219, Dec. 2024. doi:10.1002/jbio.202400219