Kianoush Falahkheirkhah

According to our database, Kianoush Falahkheirkhah authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Are We Ready for Out-of-Distribution Detection in Digital Pathology?

Ji-Hun Oh, Kianoush Falahkheirkhah, Rohit Bhargava

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Domain adaptation using optimal transport for invariant learning using histopathology datasets.

Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Deepfake histological images for enhancing digital pathology.

Kianoush Falahkheirkhah, Saumya Tiwari, Kevin Yeh, Sounak Gupta, Loren Herrera-Hernandez, Michael R. McCarthy, Rafael E. Jimenez, John C. Cheville, Rohit Bhargava

CoRR, 2022

DRB-Net: Dilated Residual Block Network for Infrared Image Restoration.

Kianoush Falahkheirkhah, Kevin Yeh, Matthew P. Confer, Rohit Bhargava

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

2021

Enhancing hyperspectral imaging.

Rohit Bhargava, Kianoush Falahkheirkhah

Nat. Mach. Intell., 2021

A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections.

Kianoush Falahkheirkhah, Tao Guo, Michael Hwang, Pheroze Tamboli, Christopher G. Wood, Jose A. Karam, Kanishka Sircar, Rohit Bhargava

CoRR, 2021

2019

A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging.

Kianoush Falahkheirkhah, Kevin Yeh, Shachi Mittal, Luke Pfister, Rohit Bhargava

CoRR, 2019