Results 101 to 110 of about 14,798 (256)

Artificial intelligence‐assisted theranostics for brain tumors: Advancements and future perspectives

VIEW, EarlyView.
Graphical demonstration of different applications of AIT for brain tumor. The major applications include CT and MRI‐based segmentation and analysis, histopathological analysis, precision treatment planning and prognosis, surgical and radiotherapy optimization, real‐time intratreatment monitoring, biomarker discovery, and molecular profiling for ...
Mifang Li, Lingyan Zhang, Zia Ullah, Yinghe Zhang, Shengxue Wei, Lihe Huang, Bing Guo   +6 more
wiley   +1 more source

Local imperceptible adversarial attacks against human pose estimation networks. [PDF]

Vis Comput Ind Biomed Art, 2023
Liu F, Zhang S, Wang H, Yan C, Miao Y.
europepmc   +1 more source

Applications of Artificial Intelligence in Neurological Voice Disorders

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao, Aki Koivu, Kristina Simonyan   +2 more
wiley   +1 more source

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep\n Classifiers [PDF]

, 2019
Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde   +3 more
openalex   +1 more source

IDH Genotyping and Glioma Prognosis Research Based on an Interpretable Transformer Learning Framework

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate genotyping and prognosis of glioma patients present significant clinical challenges, often dependent on subjective judgement and insufficient scientific evidence. This study aims to develop a robust, noninvasive preoperative multi‐modal MRI‐based transformer learning model to predict IDH genotyping and glioma prognosis.
Xuan Yu, Yaping Wu, Yan Bai, Nan Meng, Shuting Jin, Qingxia Wu, Lijuan Chen, Ningli Wang, Xiaosheng Song, Guofeng Shen, Meiyun Wang   +10 more
wiley   +1 more source

Deceptive Tricks in Artificial Intelligence: Adversarial Attacks in Ophthalmology. [PDF]

J Clin Med, 2023
Zbrzezny AM, Grzybowski AE.
europepmc   +1 more source

Adversarial Attacks on Automatic Speech Recognition (ASR): A Survey

IEEE Access
Automatic Speech Recognition (ASR) systems have improved and eased how humans interact with devices. ASR system converts an acoustic waveform into the relevant text form.
Amisha Rajnikant Bhanushali, Hyunjun Mun, Joobeom Yun   +2 more
doaj   +1 more source

Learning atomic forces from uncertainty-calibrated adversarial attacks [PDF]

Henrique Musseli Cezar, Tilmann Bodenstein, Henrik Andersen Sveinsson, Morten Ledum, Simen Reine, Sigbjørn Løland Bore   +5 more
openalex   +1 more source

LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack [PDF]

, 2021
Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian   +4 more
openalex   +1 more source

Intelligent Decision‐Making Driven by Large AI Models: Progress, Challenges and Prospects

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the rapid development of large AI models, large decision models have further broken through the limits of human cognition and promoted the innovation of decision‐making paradigms in extensive fields such as medicine and transportation. In this paper, we systematically expound on the intelligent decision‐making technology and prospects ...
You He, Shulan Ruan, Dong Wang, Huchuan Lu, Zhi Li, Yang Liu, Xu Chen, Shaohui Li, Jie Zhao, Jiaxuan Liang   +9 more
wiley   +1 more source