Results 191 to 200 of about 209,152 (323)

NVIDIA CUDA [Slides]

, 2019
openaire   +2 more sources

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source

Accelerating the tuning process for optimizing DNN operators by ROFT model. [PDF]

Sci Rep
He Z, Zhong H, Shi X, Zhao C, Wen J, Shang M.   +5 more
europepmc   +1 more source

Automated Profiling of Social Behaviors to Assess the Genetic Basis of Evolution of Aggressive Behaviors in Astyanax mexicanus

Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.
ABSTRACT Across the animal kingdom, social behaviors such as aggression are critical for survival and reproductive success. While there is significant variation in social behaviors within and between species, the genetic mechanisms underlying natural variation in social behaviors are poorly understood.
Renee Mapa, Stefan Choy, Solomia Lapko, Allison Kimmel, Isabel Carino‐Bazan, Johanna E. Kowalko   +5 more
wiley   +1 more source

The integration of virtual reality and EEG: A step-by-step guideline. [PDF]

MethodsX
Krampe C, Wolfers J, Dean P.
europepmc   +1 more source

Non‐Subtractive Arterial Spin Labeling‐Based (NSASL) Renal Magnetic Resonance Angiography (MRA): Development and Clinical Feasibility Evaluation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Non‐contrast renal MR angiography (MRA) is valuable for patients who cannot receive contrast agents or when avoiding radiation is desired. However, the conventional inflow inversion recovery (IFIR) method is limited by incomplete background suppression, venous contamination, and motion sensitivity.
Yulin Wang, Ye Yuan, Kun Yan, Jichang Zhang, Jie Zeng, Shengyang Niu, Shiying Ke, Chendie Yao, Bin Chen, Qi Dai, Liping Guo, Jianjun Zheng, Thomas Meersmann, Chengbo Wang   +13 more
wiley   +1 more source

A low-latency neural inference framework for real-time handwriting recognition from EEG signals on an edge device. [PDF]

Sci Rep
Sen O, Soni R, Virmani D, Parekh A, Lehman P, Jena S, Katikhaneni A, Khalifa A, Chatterjee B.   +8 more
europepmc   +1 more source

Analysis of Upper Airway Morphology Using Four‐Dimensional Dynamic MRI With Active Deep Learning‐Based Automatic Segmentation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Upper‐airway morphology changes during breathing can be captured with cine 4D MRI. Active‐learning nnU‐Net reduces manual labeling while maintaining accuracy. Purpose For automatic upper airway segmentation on free‐breathing cine 4D MRI using active learning and quantifying dynamic changes under two mouth positions.
Cheng‐Yang Yu, Meng‐Chen Chung, Yunn‐Jy Chen, Han‐Wei Wang, Jonathan X. Zhou, Shih‐Lung Chen, Kevin T. Chen, Tiffany Ting‐Fang Shih   +7 more
wiley   +1 more source

GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis. [PDF]

Brief Bioinform
Marangoni S, Furia F, Charrance D, Fant A, Di Dio S, Trova S, Spirito G, Musacchia F, Coppe A, Gustincich S, Vecchi M, Landuzzi F, Cavalli A.   +12 more
europepmc   +1 more source

Cardiac MR Fingerprinting at 0.55T Using a Deep Image Prior for Joint T1, T2, and M0 Mapping

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background 0.55T systems offer unique advantages and may support expanded access to cardiac MRI. Purpose To assess the feasibility of 0.55T cardiac MR Fingerprinting (MRF), leveraging a deep image prior reconstruction to mitigate noise. Study Type Phantom and prospective in vivo assessment.
Zhongnan Liu, Zexuan Liu, Imran Rashid, Mauricio Stanzione Galizia, Christopher Scoma, William Truesdell, Prachi Agarwal, Nicole Seiberlich, Liyue Shen, Jesse Hamilton   +9 more
wiley   +1 more source