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Kianoush Falahkheirkhah
Kianoush Falahkheirkhah
PhD candidate
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
All-digital histopathology by infrared-optical hybrid microscopy
M Schnell, S Mittal, K Falahkheirkhah, A Mittal, K Yeh, S Kenkel, ...
Proceedings of the National Academy of Sciences 117 (7), 3388-3396, 2020
1002020
Deep learning-based protocols to enhance infrared imaging systems
K Falahkheirkhah, K Yeh, S Mittal, L Pfister, R Bhargava
Chemometrics and Intelligent Laboratory Systems 217, 104390, 2021
192021
Deepfake histologic images for enhancing digital pathology
K Falahkheirkhah, S Tiwari, K Yeh, S Gupta, L Herrera-Hernandez, ...
Laboratory Investigation 103 (1), 100006, 2023
162023
Colon cancer grading using infrared spectroscopic imaging-based deep learning
S Tiwari, K Falahkheirkhah, G Cheng, R Bhargava
Applied spectroscopy 76 (4), 475-484, 2022
132022
Detection and quantification of myocardial fibrosis using stain-free infrared spectroscopic imaging
E Zimmermann, SS Mukherjee, K Falahkheirkhah, MC Gryka, ...
Archives of pathology & laboratory medicine 145 (12), 1526-1535, 2021
122021
A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections
K Falahkheirkhah, T Guo, M Hwang, P Tamboli, CG Wood, JA Karam, ...
Laboratory Investigation 102 (5), 554-559, 2022
102022
Infrared spectroscopic laser scanning confocal microscopy for whole-slide chemical imaging
K Yeh, I Sharma, K Falahkheirkhah, MP Confer, AC Orr, YT Liu, Y Phal, ...
Nature communications 14 (1), 5215, 2023
42023
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging
K Falahkheirkhah, K Yeh, S Mittal, L Pfister, R Bhargava
arXiv preprint arXiv:1911.04410, 2019
42019
DRB-Net: Dilated Residual Block Network for Infrared Image Restoration
K Falahkheirkhah, K Yeh, MP Confer, R Bhargava
International Symposium on Visual Computing, 104-115, 2022
32022
Accelerating cancer histopathology workflows with chemical imaging and machine learning
K Falahkheirkhah, SS Mukherjee, S Gupta, L Herrera-Hernandez, ...
Cancer Research Communications 3 (9), 1875-1887, 2023
22023
Domain adaptation using optimal transport for invariant learning using histopathology datasets
K Falahkheirkhah, A Lu, D Alvarez-Melis, G Huynh
arXiv preprint arXiv:2303.02241, 2023
12023
Enhancing hyperspectral imaging
R Bhargava, K Falahkheirkhah
Nature Machine Intelligence 3 (4), 279-280, 2021
12021
Rapid and Label-Free Histopathology of Oral Lesions Using Deep Learning Applied to Optical and Infrared Spectroscopic Imaging Data
MP Confer, K Falahkheirkhah, S Surendran, SP Sunny, K Yeh, YT Liu, ...
Journal of Personalized Medicine 14 (3), 304, 2024
2024
Digital chemical pathology
K Falahkheirkhah
University of Illinois at Urbana-Champaign, 2023
2023
Uncovering new utility in infrared spectroscopic imaging by pushing the limits of accuracy, speed, and resolution
R Bhargava, KL Yeh, S Kenkel, YD Phal, RJ Ho, K Falahkheirkhah
Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis …, 2023
2023
Infrared chemical imaging for histologic interpretation of renal tissue
G Azarfar, K Falahkheirkhah, M Gopu, J Pfister, SV Brodsky, T Nadasdy, ...
Advanced Chemical Microscopy for Life Science and Translational Medicine …, 2021
2021
Infrared Optical Hybrid (IR-OH) Microscopy for Label-Free Histopathology
M Schnell, S Mittal, K Falahkheirkhah, A Mittal, K Yeh, S Kenkel, ...
Frontiers in Optics, FW7E. 5, 2020
2020
Domain Adaptation using Optimal Transport for Invariant Learning in Histopathology Datasets
K Falahkheirkhah, A Lu, D Alvarez-Melis, G Huynh
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