2 citations · 4 across the 2 of their papers we have counts for
4 papers
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
Yaopeng Peng, Milan Sonka, Danny Z. Chen
This paper introduces Spectral U-Net, a novel deep learning network based on spectral decomposition, by exploiting Dual Tree Complex Wavelet Transform (DTCWT) for down-sampling and…
A Quantum Optimization Method for Geometric Constrained Image Segmentation
Nam H. Le, Milan Sonka, Fatima Toor
Quantum image processing is a growing field attracting attention from both the quantum computing and image processing communities. We propose a novel method in combining a graph-th…
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
Dixian Zhu, Bokun Wang, Zhi Chen +4
This paper considers a novel application of deep AUC maximization (DAM) for multi-instance learning (MIL), in which a single class label is assigned to a bag of instances (e.g., mu…
Reproducibility of Retinal Thickness Measurements across Spectral-Domain Optical Coherence Tomography Devices using Iowa Reference Algorithm
Adnan Rashid, Sebastian M. Waldstein, Bianca S. Gerendas +8
PURPOSE: Establishing and obtaining consistent quantitative indices of retinal thickness from a variety of clinically used Spectral-Domain Optical Coherence Tomography scanners. DE…