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07/22/2023
SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images
There is a significant need for the generation of virtual histological i...
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07/20/2023
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network
Optical coherence tomography (OCT) has stimulated a wide range of medica...
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01/24/2023
Detecting and measuring human gastric peristalsis using magnetically controlled capsule endoscope
Magnetically controlled capsule endoscope (MCCE) is an emerging tool for...
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12/28/2022
End-to-End Application Cloning for Distributed Cloud Microservices with Ditto
We present Ditto, an automated framework for cloning end-to-end cloud ap...
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11/12/2022
Structural constrained virtual histology staining for human coronary imaging using deep learning
Histopathological analysis is crucial in artery characterization for cor...
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06/09/2022
Cardiac Adipose Tissue Segmentation via Image-Level Annotations
Automatically identifying the structural substrates underlying cardiac a...
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04/26/2022
Deep Learning-based Automatic Player Identification and Logging in American Football Videos
American football games attract significant worldwide attention every ye...
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04/25/2022
Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning
Coronary artery disease (CAD) is a cardiovascular condition with high mo...
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02/23/2022
Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images
Inpainting shadowed regions cast by superficial blood vessels in retinal...
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12/12/2021
Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices
Cloud applications are increasingly shifting from large monolithic servi...
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11/05/2021
Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution
Current learning-based single image super-resolution (SISR) algorithms u...
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01/31/2021
Co-Seg: An Image Segmentation Framework Against Label Corruption
Supervised deep learning performance is heavily tied to the availability...
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01/01/2021
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices
Cloud applications are increasingly shifting from large monolithic servi...
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11/05/2019
uqSim: Scalable and Validated Simulation of Cloud Microservices
Current cloud services are moving away from monolithic designs and towar...
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05/27/2019
An Open-Source Benchmark Suite for Cloud and IoT Microservices
Cloud services have recently started undergoing a major shift from monol...
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05/02/2019
Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices
Performance unpredictability is a major roadblock towards cloud adoption...
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05/25/2018
The Architectural Implications of Microservices in the Cloud
Cloud services have recently undergone a shift from monolithic applicati...
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04/24/2018