Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Image.
CoRR, 2024
Label-free evaluation of lung and heart transplant biopsies using virtual staining.
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CoRR, 2024
Self-supervised learning of hologram reconstruction using physics consistency.
Nat. Mac. Intell., August, 2023
Virtual histological staining of unlabeled autopsy tissue.
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CoRR, 2023
eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging.
CoRR, 2023
Formal Modeling and Verification of Industrial Robotic Arm - A Case Study.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023
Using Deep Reinforcement Learning And Formal Verification in Safety Critical Systems: Strategies and Challenges.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023
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
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
Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor.
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CoRR, 2022
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization.
CoRR, 2022
Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network.
CoRR, 2022
Distance + Angle-Based Control of 2-D Rigid Formations.
IEEE Trans. Cybern., 2021
Further results on the distance and area control of planar formations.
Int. J. Control, 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
An orthogonal basis approach to formation shape control.
Autom., 2021
Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents.
IEEE Trans. Control. Syst. Technol., 2020
Switching formation shape control with distance + area/angle feedback.
Syst. Control. Lett., 2020
An Orthogonal Basis Approach to Formation Shape Control (Extended Version).
CoRR, 2020
Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis.
CoRR, 2020
Deep learning-based holographic polarization microscopy.
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CoRR, 2020
Distance-Based Planar Formation Control using Orthogonal Variables.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
Deep learning-based color holographic microscopy.
CoRR, 2019
Directed Formation Control of n Planar Agents with Distance and Area Constraints.
Proceedings of the 2019 American Control Conference, 2019
Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents.
CoRR, 2018
Deep learning-based super-resolution in coherent imaging systems.
CoRR, 2018
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning.
CoRR, 2018
Break Down in Order To Build Up: Decomposing Small Molecules for Fragment-Based Drug Design with <i>e</i>MolFrag.
J. Chem. Inf. Model., 2017