Aydogan Ozcan
Orcid: 0000-0002-0717-683X
According to our database1,
Aydogan Ozcan
authored at least 110 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2017, "For contributions to biophotonics, computational imaging, and sensing for telemedicine and global health".
Timeline
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Bibliography
2024
CoRR, 2024
BlurryScope: a cost-effective and compact scanning microscope for automated HER2 scoring using deep learning on blurry image data.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning.
CoRR, 2024
CoRR, 2024
An insertable glucose sensor using a compact and cost-effective phosphorescence lifetime imager and machine learning.
CoRR, 2024
Autonomous Quality and Hallucination Assessment for Virtual Tissue Staining and Digital Pathology.
CoRR, 2024
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling.
CoRR, 2024
Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data.
CoRR, 2024
Multiplane Quantitative Phase Imaging Using a Wavelength-Multiplexed Diffractive Optical Processor.
CoRR, 2024
Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning.
CoRR, 2024
Multiplexed all-optical permutation operations using a reconfigurable diffractive optical network.
CoRR, 2024
CoRR, 2024
Information hiding cameras: optical concealment of object information into ordinary images.
CoRR, 2024
2023
Adv. Intell. Syst., November, 2023
Nat. Mac. Intell., August, 2023
Adv. Intell. Syst., May, 2023
Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks.
CoRR, 2023
Pyramid diffractive optical networks for unidirectional magnification and demagnification.
CoRR, 2023
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems.
CoRR, 2023
CoRR, 2023
Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer.
CoRR, 2023
Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors.
CoRR, 2023
eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging.
CoRR, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
CoRR, 2022
GedankenNet: Self-supervised learning of hologram reconstruction using physics consistency.
CoRR, 2022
Virtual impactor-based label-free bio-aerosol detection using holography and deep learning.
CoRR, 2022
Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network.
CoRR, 2022
All-optical image classification through unknown random diffusers using a single-pixel diffractive network.
CoRR, 2022
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks.
CoRR, 2022
Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography.
CoRR, 2022
Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks.
CoRR, 2022
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects.
CoRR, 2022
Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor.
CoRR, 2022
CoRR, 2022
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization.
CoRR, 2022
Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network.
CoRR, 2022
Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network.
CoRR, 2022
2021
Nat. Mach. Intell., 2021
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning.
CoRR, 2021
All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces.
CoRR, 2021
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks.
CoRR, 2021
Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy.
CoRR, 2021
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data.
CoRR, 2021
Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks.
CoRR, 2021
2020
Proc. IEEE, 2020
Automated screening of sickle cells using a smartphone-based microscope and deep learning.
npj Digit. Medicine, 2020
npj Digit. Medicine, 2020
Deep learning-based virtual refocusing of images using an engineered point-spread function.
CoRR, 2020
CoRR, 2020
Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis.
CoRR, 2020
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer.
CoRR, 2020
Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning.
CoRR, 2020
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue.
CoRR, 2020
2019
CoRR, 2019
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy.
CoRR, 2019
CoRR, 2019
2018
CoRR, 2018
Response to Comment on "All-optical machine learning using diffractive deep neural networks".
CoRR, 2018
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks.
CoRR, 2018
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning.
CoRR, 2018
Toward a Thinking Microscope: Deep Learning in Optical Microscopy and Image Reconstruction.
CoRR, 2018
Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue.
CoRR, 2018
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery.
CoRR, 2018
2017
Phase recovery and holographic image reconstruction using deep learning in neural networks.
CoRR, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
2016
Proceedings of the 2016 IEEE International Conference on Computational Photography, 2016
2013
Giga-pixel imaging on a chip: High numerical aperture lensfree microscopy over a wide field-of-view.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 2013 IEEE Global Humanitarian Technology Conference, 2013
2012
BigFoot: Analysis, monitoring, tracking and sharing of bio-medical features of human appendages using consumer-grade home and office based imaging devices
CoRR, 2012
Smart rapid diagnostics test reader running on a cell-phone for real-time mapping of epidemics.
Proceedings of the Second ACM Workshop on Mobile Systems, 2012
2011
Compact and Cost-Effective Lensless Telemedicine Microscopy for Global Health Applications.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Portable and cost-effective pixel super-resolution on-chip microscope for telemedicine applications.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011