Biomedical imaging
Ultrasound and thermal imaging
Application of machine/deep learning to clinical imaging modalities, in collaboration with Dr. Oshrit Hoffer
Topics:
- Ultrasound imaging
- 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
- S. Kivity, D. Bykhovsky, N. Sheffer, K. Netzer, Y. Pri-Paz Basson, O. Tayer-Shifman, R. Sivan, N. Calamaro, R. Ginaime, E. Flaxer, S. Naftali, A. Ratnovsky, L. Luria, O. Hoffer, “Texture-Enhanced Thermography for Joint Inflammation Detection Using Consumer-Grade Thermal Cameras,” PLOS One, 2026 (accepted).