Kianoush Falahkheirkhah

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Domain Adaptation

Hyperspectral Imaging

Weakly Labeled Data

Top Venues

Nat. Mach. Intell.

Publications

Ji-Hun Oh, Kianoush Falahkheirkhah, Rohit Bhargava
Are We Ready for Out-of-Distribution Detection in Digital Pathology? CoRR (2024)
Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh
Domain adaptation using optimal transport for invariant learning using histopathology datasets. MIDL (2023)
Kianoush Falahkheirkhah, Alex Lu, David Alvarez-Melis, Grace Huynh
Domain adaptation using optimal transport for invariant learning using histopathology datasets. CoRR (2023)
Kianoush Falahkheirkhah, Kevin Yeh, Matthew P. Confer, Rohit Bhargava
DRB-Net: Dilated Residual Block Network for Infrared Image Restoration. ISVC (2) (2022)
Kianoush Falahkheirkhah, Saumya Tiwari, Kevin Yeh, Sounak Gupta, Loren Herrera-Hernandez, Michael R. McCarthy, Rafael E. Jimenez, John C. Cheville, Rohit Bhargava
Deepfake histological images for enhancing digital pathology. CoRR (2022)
Rohit Bhargava, Kianoush Falahkheirkhah
Enhancing hyperspectral imaging. Nat. Mach. Intell. 3 (4) (2021)
Kianoush Falahkheirkhah, Tao Guo, Michael Hwang, Pheroze Tamboli, Christopher G. Wood, Jose A. Karam, Kanishka Sircar, Rohit Bhargava
A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections. CoRR (2021)
Kianoush Falahkheirkhah, Kevin Yeh, Shachi Mittal, Luke Pfister, Rohit Bhargava
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging. CoRR (2019)