66 citations · 146 across the 8 of their papers we have counts for
11 papers
Directional Connectivity-based Segmentation of Medical Images
Ziyun Yang, Sina Farsiu
Anatomical consistency in biomarker segmentation is crucial for many medical image analysis tasks. A promising paradigm for achieving anatomically consistent segmentation via deep…
RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation
Reza Rasti, Armin Biglari, Mohammad Rezapourian +2
Optical coherence tomography (OCT) helps ophthalmologists assess macular edema, accumulation of fluids, and lesions at microscopic resolution. Quantification of retinal fluids is n…
Computational 3D microscopy with optical coherence refraction tomography
Kevin C. Zhou, Ryan P. McNabb, Ruobing Qian +4
Optical coherence tomography (OCT) has seen widespread success as an in vivo clinical diagnostic 3D imaging modality, impacting areas including ophthalmology, cardiology, and gastr…
High-speed multiview imaging approaching 4pi steradians using conic section mirrors: theoretical and practical considerations
Kevin C. Zhou, Al-Hafeez Dhalla, Ryan P. McNabb +3
Illuminating or imaging samples from a broad angular range is essential in a wide variety of computational 3D imaging and resolution-enhancement techniques, such as optical project…
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection
Ziyun Yang, Somayyeh Soltanian-Zadeh, Sina Farsiu
Salient object detection (SOD) is viewed as a pixel-wise saliency modeling task by traditional deep learning-based methods. A limitation of current SOD models is insufficient utili…
Modeling Extremes with d-max-decreasing Neural Networks
Ali Hasan, Khalil Elkhalil, Yuting Ng +4
We propose a novel neural network architecture that enables non-parametric calibration and generation of multivariate extreme value distributions (MEVs). MEVs arise from Extreme Va…
Mesoscopic photogrammetry with an unstabilized phone camera
Kevin C. Zhou, Colin Cooke, Jaehee Park +4
We present a feature-free photogrammetric technique that enables quantitative 3D mesoscopic (mm-scale height variation) imaging with tens-of-micron accuracy from sequences of image…
Unified k-space theory of optical coherence tomography
Kevin C. Zhou, Ruobing Qian, Al-Hafeez Dhalla +2
We present a general theory of optical coherence tomography (OCT), which synthesizes the fundamental concepts and implementations of OCT under a common 3D k-space framework. At the…
Fisher Auto-Encoders
Khalil Elkhalil, Ali Hasan, Jie Ding +2
It has been conjectured that the Fisher divergence is more robust to model uncertainty than the conventional Kullback-Leibler (KL) divergence. This motivates the design of a new cl…
Identifying Latent Stochastic Differential Equations
Ali Hasan, João M. Pereira, Sina Farsiu +1
We present a method for learning latent stochastic differential equations (SDEs) from high-dimensional time series data. Given a high-dimensional time series generated from a lower…
Learning Partial Differential Equations from Data Using Neural Networks
Ali Hasan, João M. Pereira, Robert Ravier +2
We develop a framework for estimating unknown partial differential equations from noisy data, using a deep learning approach. Given noisy samples of a solution to an unknown PDE, o…