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20242026
most citedOptical Generative Models

48 citations · 118 across the 13 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.NE2024★ 48 cited

Optical Generative Models

Shiqi Chen, Yuhang Li, Hanlong Chen +1

Generative models cover various application areas, including image, video and music synthesis, natural language processing, and molecular design, among many others. As digital gene…

cs.CV2024★ 3 cited

Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Image

Yuzhu Li, Hao Li, Weijie Chen +6

Distinguishing between swarming and swimming, the two principal forms of bacterial movement, holds significant conceptual and clinical relevance. This is because bacteria that exhi…

eess.IV2024★ 27 cited

Pixel super-resolved virtual staining of label-free tissue using diffusion models

Yijie Zhang, Luzhe Huang, Nir Pillar +3

Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study…

eess.IV2024★ 1 cited

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images

Michael John Fanous, Christopher Michael Seybold, Hanlong Chen +2

We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to provide a cost-effective and compact soluti…

physics.med-ph2024★ 2 cited

Label-free evaluation of lung and heart transplant biopsies using tissue autofluorescence-based virtual staining

Yuzhu Li, Nir Pillar, Tairan Liu +12

Organ transplantation serves as the primary therapeutic strategy for end-stage organ failures. However, allograft rejection is a common complication of organ transplantation. Histo…

eess.IV2024

Multi-scale Conditional Generative Modeling for Microscopic Image Restoration

Luzhe Huang, Xiongye Xiao, Shixuan Li +4

The advance of diffusion-based generative models in recent years has revolutionized state-of-the-art (SOTA) techniques in a wide variety of image analysis and synthesis tasks, wher…

eess.IV2024★ 18 cited

A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology

Luzhe Huang, Yuzhu Li, Nir Pillar +3

Histopathological staining of human tissue is essential for disease diagnosis. Recent advances in virtual tissue staining technologies using artificial intelligence (AI) alleviate…

physics.optics2024★ 17 cited

Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data

Michael John Fanous, Paloma Casteleiro Costa, Cagatay Isil +2

The integration of deep learning techniques with biophotonic setups has opened new horizons in bioimaging. A compelling trend in this field involves deliberately compromising certa…