Hongda Wang

发表

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning

A. Ozcan, J. Zuckerman, Y. Rivenson, 2018, Nature Biomedical Engineering.

Deep learning enables cross-modality super-resolution in fluorescence microscopy

A. Ozcan, Y. Rivenson, Hongda Wang, 2018, Nature Methods.

Label-Free Bioaerosol Sensing Using Mobile Microscopy and Deep Learning

Aydogan Ozcan, Yichen Wu, Yair Rivenson, 2018, ACS Photonics.

3D imaging of optically cleared tissue using a simplified CLARITY method and on-chip microscopy

Rajan P Kulkarni, Aydogan Ozcan, Yair Rivenson, 2017, Science Advances.

Label-free Bio-aerosol Sensing Using On-Chip Holographic Microscopy and Deep Learning

Y. Rivenson, Hongda Wang, Yibo Zhang, 2019 .

Label-free Bio-aerosol Sensing Using On-Chip Holographic Microscopy and Deep Learning

A. Ozcan, Y. Rivenson, Hongda Wang, 2019, 2019 Conference on Lasers and Electro-Optics (CLEO).

Pathological crystal imaging with single‐shot computational polarized light microscopy

Tairan Liu, Aydogan Ozcan, Yair Rivenson, 2019, Journal of biophotonics.

Virtual histological staining of tissue from a single label-free autofluorescence image using deep learning

Kevin de Haan, A. Ozcan, Y. Rivenson, 2019 .

Deep Learning Enables Virtual Histological Staining of Label-Free Tissue Sections Using Auto-Fluorescence

A. Ozcan, Y. Rivenson, Hongda Wang, 2019, 2019 Conference on Lasers and Electro-Optics (CLEO).

Deep learning-based holographic polarization microscopy pdf

Yi Luo, Yibo Zhang, Tairan Liu, 2020, ACS photonics.

Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning.

Y. Rivenson, Hongda Wang, Yibo Zhang, 2020, Light, science & applications.

Deep-Z: 3D Virtual Refocusing of Fluorescence Images using Deep Learning

A. Ozcan, Y. Rivenson, Hongda Wang, 2020, 2020 Conference on Lasers and Electro-Optics (CLEO).

Deep learning-based super-resolution and image transformation into structured illumination microscopy

A. Ozcan, Y. Rivenson, Hongda Wang, 2020, Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN).

Three-dimensional propagation and time-reversal of fluorescence images

Y. Rivenson, Hongda Wang, Yichen Wu, 2019, ArXiv.

Cross-Modality Deep Learning Achieves Super-Resolution in Fluorescence Microscopy

A. Ozcan, Y. Rivenson, Hongda Wang, 2019, 2019 Conference on Lasers and Electro-Optics (CLEO).

Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue

A. Ozcan, Y. Rivenson, Hongda Wang, 2018, ArXiv.

Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor

Hongda Wang, Aydogan Ozcan, Tairan Liu, 2022, ACS Photonics.

Deep learning achieves super-resolution in fluorescence microscopy

Aydogan Ozcan, Yair Rivenson, Zhensong Wei, 2018, bioRxiv.

Deep Learning Microscopy pdf

Yibo Zhang, Hongda Wang, Aydogan Ozcan, 2017, ArXiv.

Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning

Yibo Zhang, Aydogan Ozcan, Yair Rivenson, 2020, Light, science & applications.

Deep learning enhanced mobile-phone microscopy pdf

Yibo Zhang, Hongda Wang, Derek Tseng, 2017, ACS Photonics.

Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography

Hongda Wang, Aydogan Ozcan, Tairan Liu, 2022, ArXiv.

Biopsy-free in vivo virtual histology of skin using deep learning

P. Scumpia, Y. Rivenson, Hongda Wang, 2021, Light: Science & Applications.

Deep-learning enables cross-modality super-resolution in fluorescence microscopy (Conference Presentation)

Aydogan Ozcan, Yair Rivenson, Zhensong Wei, 2019, Optical Data Science II.

3D on-chip microscopy of optically cleared tissue

Sam Yang, Aydogan Ozcan, Yair Rivenson, 2018, BiOS.

Sparsity-based multi-height phase recovery in holographic microscopy

Yibo Zhang, Aydogan Ozcan, Yichen Wu, 2016, Scientific Reports.

Biopsy-free in vivo virtual histology of skin using deep learning

P. Scumpia, Y. Rivenson, Hongda Wang, 2021, Light: Science & Applications.

Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning

Aydogan Ozcan, Yair Rivenson, Laurent A. Bentolila, 2019, Nature Methods.

Deep learning enables cross-modality super-resolution in fluorescence microscopy

A. Ozcan, Y. Rivenson, Hongda Wang, 2018, Nature Methods.

Deep learning-based holographic polarization microscopy

Kevin de Haan, A. Ozcan, Y. Rivenson, 2020, ACS photonics.

Edge sparsity criterion for robust holographic autofocusing.

Aydogan Ozcan, Yichen Wu, Hongda Wang, 2017, Optics letters.

Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning

Vittorio Bianco, Bohan Zhang, Tairan Liu, 2018, Light: Science & Applications.

A robust holographic autofocusing criterion based on edge sparsity: comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront

Aydogan Ozcan, Yichen Wu, Hongda Wang, 2017, BiOS.

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning

A. Ozcan, J. Zuckerman, Y. Rivenson, 2019, Nature Biomedical Engineering.

Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue using Deep Learning pdf

Aydogan Ozcan, Jingxi Li, Yair Rivenson, 2021, BME frontiers.

Deep learning-based virtual refocusing of images using an engineered point-spread function pdf

Xilin Yang, Yichen Wu, Yair Rivenson, 2020, ACS Photonics.

Deep-learning-enabled Holographic Polarization Microscopy

Y. Rivenson, Hongda Wang, Kevin de Haan, 2021, 2021 Conference on Lasers and Electro-Optics (CLEO).

Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning

Hongda Wang, Aydogan Ozcan, Merve Eryılmaz, 2022, Nature Biomedical Engineering.

Deep Learning Microscopy: Enhancing Resolution, Field-of-View and Depth-of-Field of Optical Microscopy Images Using Neural Networks

Aydogan Ozcan, Yair Rivenson, Zoltán Göröcs, 2017, 2018 Conference on Lasers and Electro-Optics (CLEO).

High-Throughput and Label-Free Detection of Motile Parasites in Bodily Fluids Using Lensless Time-Resolved Speckle Imaging

A. Ozcan, Hongda Wang, Zhensong Wei, 2019, 2019 Conference on Lasers and Electro-Optics (CLEO).

Deep Learning-Based Virtual Staining of Unlabeled Tissue Samples

Tairan Liu, Aydogan Ozcan, Zhensong Wei, 2020 .

3D Virtual Refocusing of Point Spread Function (PSF) Engineered Images Using Cascaded Neural Networks

Y. Rivenson, Hongda Wang, Yichen Wu, 2022, 2022 Conference on Lasers and Electro-Optics (CLEO).

Generative Adversarial Networks Enable Cross-Modality Super-Resolution in Fluorescence Microscopy

Aydogan Ozcan, Yair Rivenson, Zhensong Wei, 2019, Microscopy and Microanalysis.

Label-free virtual HER2 immunohistochemical staining of breast tissue using 1 deep learning

Kevin de Haan, Han Sung Lee, Y. Rivenson, 2022 .

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning

A. Ozcan, J. Zuckerman, Y. Rivenson, 2018, Nature Biomedical Engineering.

Biopsy-free Virtual Histology of Skin Using Reflectance Confocal Microscopy and Deep Learning

P. Scumpia, Y. Rivenson, Hongda Wang, 2022, 2022 Conference on Lasers and Electro-Optics (CLEO).

Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning

Enis Cagatay Yilmaz, A. Ozcan, Y. Rivenson, 2020, Light: Science & Applications.