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Anirudh Gangadhar
Anirudh Gangadhar
Postdoctoral Fellow, Machine Learning, Ajmera Transplant Centre, UHN
Verified email at uhn.ca
Title
Cited by
Cited by
Year
Detection of live breast cancer cells in bright-field microscopy images containing white blood cells by image analysis and deep learning
G Moallem, AA Pore, A Gangadhar, H Sari-Sarraf, SA Vanapalli
Journal of Biomedical Optics 27 (7), 076003-076003, 2022
122022
Inertial focusing of particles and cells in the microfluidic labyrinth device: Role of sharp turns
A Gangadhar, SA Vanapalli
Biomicrofluidics 16 (4), 044114, 2022
62022
Deep learning assisted holography microscopy for in-flow enumeration of tumor cells in blood
A Gangadhar, H Sari-Sarraf, SA Vanapalli
RSC advances 13 (7), 4222-4235, 2023
22023
Staining-free, in-flow enumeration of tumor cells in blood using digital holographic microscopy and deep learning
A Gangadhar, H Sari-Sarraf, SA Vanapalli
bioRxiv, 2022.05. 01.490222, 2022
22022
Label-free screening and enumeration of tumor cells in blood using digital holographic microscopy and machine learning
A Gangadhar
2022
Understanding Size-Driven Inertial Particle Focusing in the Microfluidic Labyrinth Device
A Gangadhar, S Vanapalli, E Lin, S Nagrath
Bulletin of the American Physical Society, 2021
2021
Holographic detection of cancer cells in the microfluidic labyrinth device
A Gangadhar, S Gupta, A Pore, SS Bithi, S Ahmmed, E Lin, S Nagrath, ...
2019 AIChE Annual Meeting, 2019
2019
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