A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis. [PDF]
Neuroimage Clin, 2020 Salem M +7 more
europepmc +1 more source
Advanced Science, EarlyView.Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui +3 more
wiley +1 more source
AUTOMATIC BRAIN ORGAN SEGMENTATION WITH 3D FULLY CONVOLUTIONAL NEURAL NETWORK FOR RADIATION THERAPY TREATMENT PLANNING. [PDF]
Proc IEEE Int Symp Biomed Imaging, 2020 Duanmu H +6 more
europepmc +1 more source
Advanced Science, EarlyView.To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Advanced Science, EarlyView.A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu +9 more
wiley +1 more source
[Image reconstruction for cerebral hemorrhage based on improved densely-connected fully convolutional neural network]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiShi Y +5 more
europepmc +1 more source
Crowd Density Estimation Using Deep Learning: A Convolutional Neural Network Approach for Real-time Monitoring [PDF]
Crowd density estimation is an essential aspect of public safety, urban management, and event monitoring. The emergence of deep learning techniques has revolutionized this domain by providing scalable, efficient, and accurate methods for estimating crowd
Jagriti, Singh, Khushi, Kawade
core
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
Advanced Science, EarlyView.SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
Automated single cardiomyocyte characterization by nucleus extraction from dynamic holographic images using a fully convolutional neural network. [PDF]
Biomed Opt Express, 2020 Ahmadzadeh E +3 more
europepmc +1 more source
A Unified Flash Memory Platform for Mode‐Adaptive and Robust AI Computation
Advanced Science, EarlyView.A unified AND‐type flash memory platform enables both transistor‐mode and capacitor‐mode computing‐in‐memory operations within the same device structure. By selectively switching the sensing mode through peripheral reconfiguration, the platform provides adaptable trade‐offs between computational accuracy, robustness, and energy efficiency for AI ...
Dayeon Yu +6 more
wiley +1 more source