405 citations · 2.3k across the 116 of their papers we have counts for
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A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology
Vasileios Magoulianitis, Catherine A. Alexander, C. -C. Jay Kuo
In the cancer diagnosis pipeline, digital pathology plays an instrumental role in the identification, staging, and grading of malignant areas on biopsy tissue specimens. High resol…
Blind Video Quality Assessment at the Edge
Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
Owing to the proliferation of user-generated videos on the Internet, blind video quality assessment (BVQA) at the edge attracts growing attention. The usage of deep-learning-based…
Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI
Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin +3
Cardiac cine magnetic resonance imaging (MRI) has been used to characterize cardiovascular diseases (CVD), often providing a noninvasive phenotyping tool.~While recently flourished…
LGSQE: Lightweight Generated Sample Quality Evaluatoin
Ganning Zhao, Vasileios Magoulianitis, Suya You +1
Despite prolific work on evaluating generative models, little research has been done on the quality evaluation of an individual generated sample. To address this problem, a lightwe…
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation
Vasileios Magoulianitis, Yijing Yang, C. -C. Jay Kuo
A high-performance unsupervised nuclei instance segmentation (HUNIS) method is proposed in this work. HUNIS consists of two-stage block-wise operations. The first stage includes: 1…
Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI
Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin +4
Assessment of cardiovascular disease (CVD) with cine magnetic resonance imaging (MRI) has been used to non-invasively evaluate detailed cardiac structure and function. Accurate seg…
Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology
Xiaofeng Liu, Fangxu Xing, Chao Yang +3
Deformable registration of magnetic resonance images between patients with brain tumors and healthy subjects has been an important tool to specify tumor geometry through location a…
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
Xiaofeng Liu, Fangxu Xing, Chao Yang +5
Deep learning has great potential for accurate detection and classification of diseases with medical imaging data, but the performance is often limited by the number of training da…
PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification
Yueru Chen, Mozhdeh Rouhsedaghat, Suya You +2
The successive subspace learning (SSL) principle was developed and used to design an interpretable learning model, known as the PixelHop method,for image classification in our prio…
Recent Advances on HEVC Inter-frame Coding: From Optimization to Implementation and Beyond
Yongfei Zhang, Chao Zhang, Rui Fan +3
High Efficiency Video Coding (HEVC) has doubled the video compression ratio with equivalent subjective quality as compared to its predecessor H.264/AVC. The significant coding effi…
On Energy Compaction of 2D Saab Image Transforms
Na Li, Yongfei Zhang, Yun Zhang +1
The block Discrete Cosine Transform (DCT) is commonly used in image and video compression due to its good energy compaction property. The Saab transform was recently proposed as an…
Compressed Image Quality Assessment Based on Saak Features
Xinfeng Zhang, Sam Kwong, C. -C. Jay Kuo
Compressed image quality assessment plays an important role in image services, especially in image compression applications, which can be utilized as a guidance to optimize image p…