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20162022
most citedSingle Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification

228 citations · 348 across the 14 of their papers we have counts for

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9 papers · 1 filter

cs.CV2022

SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning

Tengfei Xue, Fan Zhang, Chaoyi Zhang +6

White matter parcellation classifies tractography streamlines into clusters or anatomically meaningful tracts to enable quantification and visualization. Most parcellation methods…

cs.CV2021★ 1 cited

Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision

Ruijie Ren, Mohit Gurnani Rajesh, Jordi Sanchez-Riera +6

Automatically detecting graspable regions from a single depth image is a key ingredient in cloth manipulation. The large variability of cloth deformations has motivated most of the…

cs.CV2021

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis

Tiange Xiang, Yang Song, Chaoyi Zhang +6

We present a novel weakly-supervised framework for classifying whole slide images (WSIs). WSIs, due to their gigapixel resolution, are commonly processed by patch-wise classificati…

cs.CV2021

Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation

Yuqian Chen, Chaoyi Zhang, Yang Song +5

White matter fiber clustering (WMFC) enables parcellation of white matter tractography for applications such as disease classification and anatomical tract segmentation. However, t…

cs.CV2021★ 10 cited

Deception Detection in Videos using the Facial Action Coding System

Hammad Ud Din Ahmed, Usama Ijaz Bajwa, Fan Zhang +1

Facts are important in decision making in every situation, which is why it is important to catch deceptive information before they are accepted as facts. Deception detection in vid…

cs.CV2021★ 228 cited

Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification

Peng Yao, Shuwei Shen, Mengjuan Xu +6

Deep convolutional neural network (DCNN) models have been widely explored for skin disease diagnosis and some of them have achieved the diagnostic outcomes comparable or even super…

cs.CV2021★ 8 cited

Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification

Shuwei Shen, Mengjuan Xu, Fan Zhang +8

Although deep convolutional neural networks (DCNNs) have achieved significant accuracy in skin lesion classification comparable or even superior to those of dermatologists, practic…

cs.CV2020

Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation

Lijun Zhao, Jinjing Zhang, Fan Zhang +3

Most deep image smoothing operators are always trained repetitively when different explicit structure-texture pairs are employed as label images for each algorithm configured with…

cs.CV2016★ 15 cited

Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus

Fan Zhang, Fabio Duarte, Ruixian Ma +3

In this paper, we propose a robust and parsimonious approach using Deep Convolutional Neural Network (DCNN) to recognize and interpret interior space. DCNN has achieved incredible…