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12/01/2022
P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames
We present a lightweight post-processing method to refine the semantic s...
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03/02/2021
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
Deep convolutional neural networks have shown outstanding performance in...
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08/18/2020
Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
Optical Coherence Tomography (OCT) is pervasive in both the research and...
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07/03/2020
Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes
In optical coherence tomography (OCT) volumes of retina, the sequential ...
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08/05/2019
Inference of visual field test performance from OCT volumes using deep learning
Visual field tests (VFT) are pivotal for glaucoma diagnosis and conducte...
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07/12/2018
A feature agnostic approach for glaucoma detection in OCT volumes
Optical coherence tomography (OCT) based measurements of retinal layer t...
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03/27/2017
Mastering Sketching: Adversarial Augmentation for Structured Prediction
We present an integral framework for training sketch simplification netw...
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11/28/2007