Aydogan Ozcan

Orcid: 0000-0002-0717-683X

According to our database1, Aydogan Ozcan authored at least 96 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2017, "For contributions to biophotonics, computational imaging, and sensing for telemedicine and global health".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

All-optical complex field imaging using diffractive processors.
CoRR, 2024

Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor.
CoRR, 2024

Information hiding cameras: optical concealment of object information into ordinary images.
CoRR, 2024

2023
Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network.
Adv. Intell. Syst., November, 2023

Self-supervised learning of hologram reconstruction using physics consistency.
Nat. Mac. Intell., August, 2023

Digital staining facilitates biomedical microscopy.
Frontiers Bioinform., May, 2023

Time-Lapse Image Classification Using a Diffractive Neural Network.
Adv. Intell. Syst., May, 2023

All-Optical Phase Conjugation Using Diffractive Wavefront Processing.
CoRR, 2023

Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks.
CoRR, 2023

All-optical image denoising using a diffractive visual processor.
CoRR, 2023

Pyramid diffractive optical networks for unidirectional magnification and demagnification.
CoRR, 2023

Virtual histological staining of unlabeled autopsy tissue.
CoRR, 2023

Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems.
CoRR, 2023

Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions.
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

Diffractive Optical Networks & Computational Imaging Without a Computer.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Data class-specific all-optical transformations and encryption.
CoRR, 2022

Snapshot Multispectral Imaging Using a Diffractive Optical Network.
CoRR, 2022

Unidirectional Imaging using Deep Learning-Designed Materials.
CoRR, 2022

Deep Learning-enabled Virtual Histological Staining of Biological Samples.
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 stain transfer in histology via cascaded deep neural networks.
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

Super-resolution image display using diffractive decoders.
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

Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers.
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

Diffractive all-optical computing for quantitative phase imaging.
CoRR, 2022

2021
Machine learning and computation-enabled intelligent sensor design.
Nat. Mach. Intell., 2021

Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning.
CoRR, 2021

Cascadable all-optical NAND gates using diffractive networks.
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
Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy.
Proc. IEEE, 2020

Automated screening of sickle cells using a smartphone-based microscope and deep learning.
npj Digit. Medicine, 2020

Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors.
npj Digit. Medicine, 2020

Deep learning-based virtual refocusing of images using an engineered point-spread function.
CoRR, 2020

Neural network-based on-chip spectroscopy using a scalable plasmonic encoder.
CoRR, 2020

Scale-, shift- and rotation-invariant diffractive optical networks.
CoRR, 2020

Recurrent neural network-based volumetric fluorescence microscopy.
CoRR, 2020

Ensemble learning of diffractive optical networks.
CoRR, 2020

Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis.
CoRR, 2020

All-Optical Information Processing Capacity of Diffractive Surfaces.
CoRR, 2020

Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer.
CoRR, 2020

Deep learning-based holographic polarization microscopy.
CoRR, 2020

Terahertz Pulse Shaping Using Diffractive Legos.
CoRR, 2020

Misalignment Resilient Diffractive Optical Networks.
CoRR, 2020

Machine Vision using Diffractive Spectral Encoding.
CoRR, 2020

Single-shot autofocusing of microscopy images using deep learning.
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
Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks.
CoRR, 2019

Deep learning-based color holographic microscopy.
CoRR, 2019

Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy.
CoRR, 2019

Three-dimensional propagation and time-reversal of fluorescence images.
CoRR, 2019

Resolution enhancement in scanning electron microscopy using deep learning.
CoRR, 2019

2018
Cross-modality deep learning brings bright-field microscopy contrast to holography.
CoRR, 2018

Deep learning-based super-resolution in coherent imaging systems.
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

All-Optical Machine Learning Using Diffractive Deep Neural Networks.
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
Deep learning enhanced mobile-phone microscopy.
CoRR, 2017

Phase recovery and holographic image reconstruction using deep learning in neural networks.
CoRR, 2017

Deep Learning Microscopy.
CoRR, 2017

Wearable Optical Sensors.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016
Keynote speakers: Computational imaging: How much imaging - How much computation?
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

Field-portable lensfree holographic color microscope for telemedicine applications.
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

Wide-field fluorescent microscopy on a cell-phone.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Optofluidic on-chip tomography.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Lensless fluorescent on-chip microscopy using a fiber-optic taper.
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


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