1 code implementation • ECCV 2020 • Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
We explicitly enforce the meaningful representation to be agnostic to sensitive information by entropy maximization.
1 code implementation • 10 Dec 2019 • Mert Kayhan, Okan Köpüklü, Mhd Hasan Sarhan, Mehmet Yigitsoy, Abouzar Eslami, Gerhard Rigoll
To this end, a lightweight network architecture is introduced and mean teacher, virtual adversarial training and pseudo-labeling algorithms are evaluated on 2D-pose estimation for surgical instruments.
no code implementations • 18 Apr 2019 • Mhd Hasan Sarhan, Shadi Albarqouni, Mehmet Yigitsoy, Nassir Navab, Abouzar Eslami
To enhance the discriminative power of the classification model, we incorporate triplet embedding loss with a selective sampling routine.
no code implementations • 17 Apr 2019 • Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni
Learning Interpretable representation in medical applications is becoming essential for adopting data-driven models into clinical practice.