331 citations · 576 across the 51 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…
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…