Results 131 to 140 of about 116,500 (328)

Masked Image Modeling with Denoising Contrast [PDF]

, 2022
Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie   +7 more
openalex   +1 more source

Representing Noisy Image Without Denoising

IEEE Transactions on Pattern Analysis and Machine Intelligence
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence ...
Shuren Qi, Yushu Zhang, Chao Wang, Tao Xiang, Xiaochun Cao, Yong Xiang   +5 more
openaire   +3 more sources

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

Advanced Science, EarlyView.
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao, Jiakang Shao, Quanzhi Li, Yizhou Tan, Liangliang Huang, Xiaorong Xu, Ji Qi, Julin Xiao, Wenwen Li, Zhong Wen, Le Wang, Xu Liu, Qing Yang, Ying Gu   +13 more
wiley   +1 more source

Transformative Noise Reduction: Leveraging a Transformer-Based Deep Network for Medical Image Denoising

Mathematics
Medical image denoising has numerous real-world applications. Despite their widespread use, existing medical image denoising methods fail to address complex noise patterns and typically generate artifacts in numerous cases.
Rizwan Ali Naqvi, Amir Haider, Hak Seob Kim, Daesik Jeong, Seung-Won Lee   +4 more
doaj   +1 more source

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, EarlyView.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source

Is denoising necessary for ultrasound image segmentation deep learning: review and benchmark [PDF]

, 2023
Fei Liu, Zhixia Dong, Pei Qin, Binjie Qin, Sijie Xu, Xiangyun Zhao, Xinjian Wan, Xu Chen, Lu Chen   +8 more
openalex   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models

Advanced Science, EarlyView.
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li, Tianqi Su, Bin Zhang, Wenkai Han, Sibin Zhang, Guiyin Sun, Yuwei Cong, Xin Chen, Jiping Qi, Yujie Wang, Shiguang Zhao, Hongxue Meng, Peng Liang, Xin Gao   +13 more
wiley   +1 more source

Multifractal image denoising

, 1997
We present a new method for image denoising based on singularity analysis. The image is characterized via its multifractal spectrum, which mode yields the most frequent H�lder exponent. Using 2-microlocal analysis, we define an operator that shifts the spectrum so that the transformed image has almost sure H�lder exponent a little above 2.
Lévy Véhel, Jacques, Guilheneuf, Bertrand   +1 more
openaire   +1 more source

Atomic‐Scale Mechanisms of Multi‐Resistance States in HfOx‐Based RRAM: Evolution of Atomic Electric Fields and Oxygen Vacancies

Advanced Science, EarlyView.
Atomic‐scale mechanisms governing multilevel resistive switching in HfOx‐based RRAM are reveal through advanced TEM. Thermally driven m‐phase rotation ([101]↔[011]) enables selective oxygen vacancy migration, which reconstructs atomic electric fields and dictates conduction—from Schottky/Poole‐Frenkel emission to Ohmic transport.
Wen Sun, Yuyan Wang, Ruofei Hu, Yuyao Lu, Jun Xu, Xinyi Li, Bin Gao, He Qian, Jianshi Tang, Huaqiang Wu   +9 more
wiley   +1 more source