output
19992026
most citedAAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images

384 citations

Showing 2020Show all

13 papers · 1 filter

eess.IV2020★ 10 cited

Deep learning in magnetic resonance prostate segmentation: A review and a new perspective

David Gillespie, Connah Kendrick, Ian Boon +3

Prostate radiotherapy is a well established curative oncology modality, which in future will use Magnetic Resonance Imaging (MRI)-based radiotherapy for daily adaptive radiotherapy…

cs.CV2020★ 9 cited

Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation

Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi +18

There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of s…

cs.LG2020★ 19 cited

Analysing the impact of global demographic characteristics over the COVID-19 spread using class rule mining and pattern matching

Wasiq Khan, Abir Hussain, Sohail Ahmed Khan +3

Since the coronavirus disease (COVID-19) outbreak in December 2019, studies have been addressing diverse aspects in relation to COVID-19 and Variant of Concern 202012/01 (VOC 20201…

eess.SP2020★ 5 cited

Reconfigurable Intelligent Surfaces based Cognitive Radio Networks

Abubakar U. Makarfi, Rupak Kharel, Khaled M. Rabie +3

Over the last decade, cognitive radios (CRs) have emerged as a technology for improving spectrum efficiency through dynamic spectrum access techniques. More recently, as research i…

eess.IV2020★ 206 cited

An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI

Xin Zhang, Liangxiu Han, Wenyong Zhu +2

Computer-aided early diagnosis of Alzheimer's disease (AD) and its prodromal form mild cognitive impairment (MCI) based on structure Magnetic Resonance Imaging (sMRI) has provided…

physics.ins-det2020★ 50 cited

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta +19

Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering…