Results 71 to 80 of about 58,990 (298)

Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans

open access: yesAdvanced Science, EarlyView.
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang   +17 more
wiley   +1 more source

EVALUATION OF SELF-SUPERVISED LEARNING APPROACHES FOR SEMANTIC SEGMENTATION OF INDUSTRIAL BURNER FLAMES [PDF]

open access: diamond, 2022
S. Landgraf   +5 more
openalex   +1 more source

Boosting Semantic Segmentation with Semantic Boundaries

open access: yes, 2023
28 pages, Code available at https://github.com/haruishi43 ...
Ishikawa, Haruya, Aoki, Yoshimitsu
openaire   +2 more sources

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

open access: yesAdvanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen   +8 more
wiley   +1 more source

Vision Transformers: From Semantic Segmentation to Dense Prediction [PDF]

open access: green, 2022
Li Zhang   +8 more
openalex   +1 more source

OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis

open access: yesAdvanced Science, EarlyView.
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu   +17 more
wiley   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions

open access: yesComplexity, 2019
The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations.
Xinying Xu   +4 more
doaj   +1 more source

SASO: Joint 3D semantic‐instance segmentation via multi‐scale semantic association and salient point clustering optimization

open access: yesIET Computer Vision, 2021
Jointly performing semantic and instance segmentation of 3D point cloud remains a challenging task. In this work, a novel framework called joint 3D semantic‐instance segmentation via multi‐scale Semantic Association and Salient point clustering ...
Jingang Tan   +4 more
doaj   +1 more source

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