Results 141 to 150 of about 12,040,618 (293)

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation. [PDF]

Med Image Anal, 2023
Bhattarai B, Subedi R, Gaire RR, Vazquez E, Stoyanov D.   +4 more
europepmc   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source

Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image. [PDF]

PLoS One, 2022
Nwosu L, Li X, Qian L, Kim S, Dong X.
europepmc   +1 more source

Vocabulary-Free Image Classification and Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Large vision-language models revolutionized image classification and semantic segmentation paradigms. However, they typically assume a pre-defined set of categories, or vocabulary, at test time for composing textual prompts. This assumption is impractical in scenarios with unknown or evolving semantic context.
Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci   +5 more
openaire   +5 more sources

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source

Coherent segmentation of video into syntactic regions [PDF]

, 2005
In this paper we report on our work in realising an approach to video shot matching which involves automatically segmenting video into abstract intertwinded shapes in such a way that there is temporal coherency.
O'Connor, Noel E., Smyth, Oliver, Le Borgne, Hervé, de Burca, Seán, Smeaton, Alan F., Adamek, Tomasz, O\u27Connor, Noel E.   +6 more
core   +2 more sources

A Novel Upsampling and Context Convolution for Image Semantic Segmentation. [PDF]

Sensors (Basel), 2021
Sediqi KM, Lee HJ.
europepmc   +1 more source

AI‐Assisted Tumor Boundary Delineation via Targeted Ultrasmall Iron Oxide Nanoprobe for High‐Contrast HER2‐Positive Tumor Imaging

Advanced Science, EarlyView.
A novel targeted and pH‐responsive MRI contrast agent was integrated with a 3D nnU‐Net deep learning framework to enable accurate delineation of tumor boundary morphology in HER2‐positive breast cancer imaging. ABSTRACT Breast cancer continues to be a leading cause of cancer‐related mortality in women globally, where precise diagnosis and clear tumor ...
Jiaying Zheng, Yi Zhu, Xinrui Li, Sunxian Dai, Xiangyuan Ma, Hongwei Lu, Zhongling Wang, Benqing Zhou   +7 more
wiley   +1 more source

From uncertainty to adaptivity : multiscale edge detection and image segmentation [PDF]

This thesis presents the research on two different tasks in computer vision: edge detection and image segmentation (including texture segmentation and motion field segmentation).
Liang, Kung-Hao
core