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Suyog Jadhav
Suyog Jadhav
PhD Fellow, UiT Norway
Verified email at uit.no - Homepage
Title
Cited by
Cited by
Year
Object detection neural network improves Fourier ptychography reconstruction
F Ströhl, S Jadhav, BS Ahluwalia, K Agarwal, DK Prasad
Optics Express 28 (25), 37199-37208, 2020
112020
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning
S Jadhav, S Acuña, IS Opstad, BS Ahluwalia, K Agarwal, DK Prasad
Biomedical Optics Express 12 (1), 191-210, 2021
42021
Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection
S Jadhav, U Bamba, A Chavan, R Tiwari, A Raj
2nd International Workshop and Challenge on Computer Vision in Endoscopy …, 2020
22020
Deep learning-based denoising of acoustic images generated with point contact method
S Jadhav, R Kuchibhotla, K Agarwal, A Habib, DK Prasad
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2023
12023
Single-shot multispectral quantitative phase imaging of biological samples using deep learning
S Bhatt, A Butola, A Kumar, P Thapa, A Joshi, S Jadhav, N Singh, ...
Applied Optics 62 (15), 3989-3999, 2023
12023
Reconstructing 3D shape from 3D ThunderSTORM Point Clouds
S Jadhav, S Majhi, AS Chowdhury, DK Prasad, K Agarwal
Focus on Microscopy 2023, Porto, Portugal, 2023
2023
MiShape: 3D Shape Modelling of Mitochondria in Microscopy
AR Punnakkal, SS Jadhav, A Horsch, K Agarwal, DK Prasad
arXiv preprint arXiv:2303.01546, 2023
2023
Deep learning in frequency space enables sample-independent parameter estimation in Fourier ptychographic microscopy
S Jadhav, F Ströhl
Novel Techniques in Microscopy, NF2C. 5, 2021
2021
Supplementary notes: Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning
S JADHAV, S ACUÑA, I OPSTAD, BS AHLUWALIA, K AGARWAL, ...
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