Results 121 to 130 of about 272,612 (359)

Heterogeneous Window Transformer for Image Denoising [PDF]

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Deep networks can usually depend on extracting more structural information to improve denoising results. However, they may ignore correlation between pixels from an image to pursue better-denoising performance.
Chunwei Tian, Menghua Zheng, Chia-Wen Lin, Zhiwu Li, David Zhang   +4 more
semanticscholar   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Denosing Using Wavelets and Projections onto the L1-Ball [PDF]

, 2014
Both wavelet denoising and denosing methods using the concept of sparsity are based on soft-thresholding. In sparsity based denoising methods, it is assumed that the original signal is sparse in some transform domains such as the wavelet domain and the ...
Cetin, A. Enis, Tofighi, Mohammad
core   +1 more source

Self-supervised PET Denoising

Nuclear Medicine and Molecular Imaging, 2020
Early deep-learning-based image denoising techniques mainly focused on a fully supervised model that learns how to generate a clean image from the noisy input (noise2clean: N2C). The aim of this study is to explore the feasibility of the self-supervised methods (noise2noise: N2N and noiser2noise: Nr2N) for PET image denoising based on the measured PET ...
Si Young Yie, Seung Kwan Kang, Donghwi Hwang, Jae Sung Lee   +3 more
openaire   +3 more sources

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

Advanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Pre‐Administration of Akkermansia Muciniphila Prevents the Development of Severe Acute Graft‐Versus‐Host Disease in Systemic Organs

Advanced Science, EarlyView.
Akkermansia muciniphila, a next‐generation probiotic, alleviates acute graft‐versus‐host disease (aGvHD) following allogeneic hematopoietic stem cell transplantation (HSCT) by providing protective effects across multiple organs. Pre‐colonization with A.
Jeong‐Eun Han, Dae‐Seong Lee, Su‐Won Jeong, Ji‐Hyun Yun, Seomin Kang, Seoyoung Jang, EunAh Lee, Ju Hye Baek, Che Ok Jeon, Jin‐Woo Bae   +9 more
wiley   +1 more source

Supervised Neural Discrete Universal Denoiser for Adaptive Denoising

, 2021
Preprint
Cha, Sungmin, Min, Seonwoo, Yoon, Sungroh, Moon, Taesup   +3 more
openaire   +2 more sources

Single‐Cell Metabolic Imaging Reveals Glycogen‐Driven Adaptations in Endothelial Cells

Advanced Science, EarlyView.
Single‐cell metabolic imaging of diabetes‐associated endothelial dysfunction by SRS microscopy reveals dynamic glycogen storage and its role in modulating metabolic adaptations under glucose starvation. Abstract Endothelial dysfunction (ED) is a defining feature of diabetes mellitus (DM) and a key contributor to many metabolic and cardiovascular ...
Rahuljeet S. Chadha, Benjamin Yang, Dongqiang Yuan, Edmund D. Kapelczak, Philip A. Kocheril, Alonso Tapia, Shivansh Mahajan, Adrian Colazo, Naseeb K. Malhi, Joseph A. Ambarian, Xuejing Liu, Tara A. TeSlaa, Zhen B. Chen, Lu Wei   +13 more
wiley   +1 more source

Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images

, 2021
Mingjie Gao, Jeffrey A. Fessler, Heang‐Ping Chan   +2 more
openalex   +2 more sources

The Geometry of Layer 2/3 Cortical Sound Processing in Slow Wave Sleep

Advanced Science, EarlyView.
Sleep is associated with a sensory disconnection whose mechanisms remain elusive. Large neuronal population recordings in the auditory cortex revealed that, in NREM sleep, the neural code for sounds is highly similar to wakefulness, but coordinated modulations of neuron responsiveness intermittently disconnect the local cortical networks from sensory ...
Allan Muller, Anton Filipchuk, Sophie Bagur, Brice Bathellier   +3 more
wiley   +1 more source