Fatemeh Taheri Dezaki
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce. | Lakshman Kolasani, Fatemeh Taheri Dezaki |
| 2024 | ICASSP | Skin Tone Disentanglement in 2D Makeup Transfer With Graph Neural Networks. | Masoud Mokhtari, Fatemeh Taheri Dezaki, Timo Bolkart, Betty Mohler Tesch, Rahul Suresh, Amin Banitalebi-Dehkordi |
| 2021 | CVPR | Reciprocal Landmark Detection and Tracking With Extremely Few Annotations. | Jianzhe Lin, Ghazal Sahebzamani, Christina Luong, Fatemeh Taheri Dezaki, Mohammad H. Jafari, Purang Abolmaesumi, Teresa Tsang |
| 2021 | MICCAI | Deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography. | Tom Ginsberg, Ro-ee Tal, Michael Y. Tsang, Calum Macdonald, Fatemeh Taheri Dezaki, John van der Kuur, Christina Luong, Purang Abolmaesumi, Teresa Tsang |
| 2021 | MICCAI | Imaging Biomarker Knowledge Transfer for Attention-Based Diagnosis of COVID-19 in Lung Ultrasound Videos. | Tyler Lum, Mobina Mahdavi, Oron Frenkel, Christopher Lee, Mohammad H. Jafari, Fatemeh Taheri Dezaki, Nathan Van Woudenberg, Ang Nan Gu, Purang Abolmaesumi, Teresa Tsang |
| 2019 | MICCAI | Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model. | Fatemeh Taheri Dezaki, Hany Girgis, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang |
| 2017 | MICCAI | Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms. | Fatemeh Taheri Dezaki, Neeraj Dhungel, Amir H. Abdi, Christina Luong, Teresa Tsang, John Jue, Ken Gin, Dale Hawley, Robert Rohling, Purang Abolmaesumi |