Results 191 to 200 of about 156,766 (287)

Physics‐Guided Multi‐Channel Restoration for Efficient and Accurate Atomic Force Microscopy Imaging

Advanced Science, EarlyView.
Schematic figure of restoring noisy atomic force micrscopy (AFM) image via physics‐guided multi‐channel restoration. The lighter neural network models with multiple‐channel input from auxiliary signals outperforms heavier model with single‐channel input.
Jaeuk Sung, Hongseok Kim, Seungjae Heo, Jin Tae Moon, Jangwoo Ko, Panithan Sriboriboon, Dong‐Gyu Lee, Sanghyun Jo, Hee Han, Jungho Ryu, Woo Lee, Jinseong Heo, Hyun‐Cheol Song, Yunseok Kim   +13 more
wiley   +1 more source

BVLab-analyzer: a unified visual toolbox for terabyte-scale whole-brain cell detection, neuron reconstruction, and vascular network extraction. [PDF]

Front Neuroinform
Hu Y, Wang X, Sun P, Shen Y, Quan T.
europepmc   +1 more source

SpaCut: Transcript‐Aware Morphology Fusion for Robust Cell Segmentation in Subcellular Spatial Transcriptomics

Advanced Science, EarlyView.
Subcellular spatial transcriptomics enables high‐resolution mapping of gene expression within tissues, but accurate cell segmentation is essential for assigning transcripts to individual cells. We present SpaCut, a deep learning framework that integrates transcriptomic features with nucleus‐guided morphological information to precisely delineate cell ...
Yongheng Li, Fangfang Zhu, Wenwen Min
wiley   +1 more source

Faster inference of complex demographic models from large allele frequency spectra. [PDF]

Bioinformatics
Dilber E, Liang J, Tan J, Terhorst J.
europepmc   +1 more source

XChrom: A Cross‐Cell Chromatin Accessibility Prediction Model Integrating Genomic Sequence and Cellular Context

Advanced Science, EarlyView.
XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao, Xuan Liang, Wenwen Zhang, Dongmei Han, Yurun Li, Zhen Wang   +5 more
wiley   +1 more source

Lightweight CNN and transformer detectors for real-time single-fruit date-variety recognition on edge GPU hardware. [PDF]

PLoS One
Miski A, Alshangiti M.
europepmc   +1 more source

Non‐Invasive Assessment of Perineural Invasion Density: A Novel Marker for Prognosis and Treatment Stratification in Prostate Cancer

Advanced Science, EarlyView.
This study establishes perineural invasion density (PNID) as a superior prognostic marker in prostate cancer, outperforming conventional perineural invasion in predicting biochemical recurrence and radiographic progression. Concurrent β–blocker use is associated with favorable outcomes exclusively in High–PNID patients. An MRI–based deep learning model
Bohao Liu, Long Zhang, Weian Zhu, Meng Yang, Xiang Liu, Xiaoyang Li, Peng Qin, Zhengxu Lin, Qian Cai, Jiayu Zheng, Xiao Zhao, Chen Zou, Xuan Wen, Longhao Xu, Daqin Wu, Lin Zhang, Cuilian Zhang, Kaiwen Li, Chunhui Wang, Wenlong Zhong, Yun Luo   +20 more
wiley   +1 more source

Highly Linear Perovskite Synapses for Neuromorphic Computing

Advanced Science, EarlyView.
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun, Boyu Wan, Zifan Zhang, Zhikai Wang, Xuan Zhao, Haonan Si, Qingliang Liao, Yue Zhang   +7 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Development of a GPU-based dose calculation engine for MRI-guided proton therapy. [PDF]

Med Phys
Gu Y, Wang Y, Liu M, Gong H, Yuan X, Lu HM, Yang Y.   +6 more
europepmc   +1 more source