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06/17/2022
Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration
Screening colonoscopy is an important clinical application for several 3...
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05/04/2022
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification
A major challenge in applying deep learning to medical imaging is the pa...
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11/26/2020
Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos with Bidirectional Temporal Deep Learning Tracking Algorithm
Oblique back-illumination capillaroscopy has recently been introduced as...
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09/07/2020
Improving colonoscopy lesion classification using semi-supervised deep learning
While data-driven approaches excel at many image analysis tasks, the per...
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07/01/2020
Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning
Spatial frequency domain imaging (SFDI) is a powerful technique for mapp...
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06/29/2019
SLAM Endoscopy enhanced by adversarial depth prediction
Medical endoscopy remains a challenging application for simultaneous loc...
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06/12/2019
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images
We present a deep learning framework for wide-field, content-aware estim...
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04/30/2019
Structured Prediction using cGANs with Fusion Discriminator
We propose the fusion discriminator, a single unified framework for inco...
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11/18/2018
Multimodal Densenet
Humans make accurate decisions by interpreting complex data from multipl...
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10/23/2018
DeepLSR: Deep learning approach for laser speckle reduction
We present a deep learning approach for laser speckle reduction ('DeepLS...
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09/29/2018
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
Nuclei segmentation is a fundamental task that is critical for various c...
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08/22/2018
Rethinking Monocular Depth Estimation with Adversarial Training
Monocular depth estimation is an extensively studied computer vision pro...
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05/22/2018
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images
Deep learning has emerged as a powerful artificial intelligence tool to ...
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11/17/2017
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
To realize the full potential of deep learning for medical imaging, larg...
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10/30/2017
