activity
20212024
most citedEnhanced U-Net: A Feature Enhancement Network for Polyp Segmentation

7 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

Assessing Patient Eligibility for Inspire Therapy through Machine Learning and Deep Learning Models

Mohsena Chowdhury, Tejas Vyas, Rahul Alapati +2

Inspire therapy is an FDA-approved internal neurostimulation treatment for obstructive sleep apnea. However, not all patients respond to this therapy, posing a challenge even for e…

cs.CV2023

Gender, Smoking History and Age Prediction from Laryngeal Images

Tianxiao Zhang, Andrés M. Bur, Shannon Kraft +5

Flexible laryngoscopy is commonly performed by otolaryngologists to detect laryngeal diseases and to recognize potentially malignant lesions. Recently, researchers have introduced…

cs.CV2022★ 2 cited

Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets

Xiangyu Chen, Ying Qin, Wenju Xu +3

Vision Transformers have attracted a lot of attention recently since the successful implementation of Vision Transformer (ViT) on vision tasks. With vision Transformers, specifical…

cs.CV2022★ 1 cited

Aggregating Global Features into Local Vision Transformer

Krushi Patel, Andres M. Bur, Fengjun Li +1

Local Transformer-based classification models have recently achieved promising results with relatively low computational costs. However, the effect of aggregating spatial global in…

eess.IV2021★ 7 cited

Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation

Krushi Patel, Andres M. Bur, Guanghui Wang

Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for developing colorectal cancer. However, polyp segmentation is a challenging task due to the di…