Results 191 to 200 of about 6,781,577 (302)

Skeleton-guided 3D convolutional neural network for tubular structure segmentation. [PDF]

Int J Comput Assist Radiol Surg
Zhu R, Oda M, Hayashi Y, Kitasaka T, Misawa K, Fujiwara M, Mori K.   +6 more
europepmc   +1 more source

Sfcnn: a novel scoring function based on 3D convolutional neural network for accurate and stable protein-ligand affinity prediction. [PDF]

BMC Bioinformatics, 2022
Wang Y, Wei Z, Xi L.
europepmc   +1 more source

Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery

Advanced Science, EarlyView.
DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong, Ji Li, Mu Su, Peishen Yu, Te Ma, Ruiyang Zhai, Chenye Zhang, Mengyan Zhang, Yan Zhang   +8 more
wiley   +1 more source

AG-MS3D-CNN multiscale attention guided 3D convolutional neural network for robust brain tumor segmentation across MRI protocols. [PDF]

Sci Rep
Lilhore UK, Sunder R, Simaiya S, Alsafyani M, Monish Khan MD, Alroobaea R, Alsufyani H, Baqasah AM.   +7 more
europepmc   +1 more source

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

Advanced Science, EarlyView.
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang, Ziyan Zhang, Swee Hong Ng, Haipeng Gong   +3 more
wiley   +1 more source

An Efficient 3D Convolutional Neural Network for Dose Prediction in Cancer Radiotherapy from CT Images. [PDF]

Diagnostics (Basel)
Hien LT, Hieu PT, Toan DN.
europepmc   +1 more source

3D convolutional neural network for machining feature recognition with gradient-based visual explanations from 3D CAD models. [PDF]

Sci Rep, 2022
Lee J, Lee H, Mun D.
europepmc   +1 more source

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

Advanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

Adding the third dimension: 3D convolutional neural network diagnosis of temporal lobe epilepsy. [PDF]

Brain Commun
Kaestner E, Hassanzadeh R, Gleichgerrcht E, Hasenstab K, Roth RW, Chang A, Rüber T, Davis KA, Dugan P, Kuzniecky R, Fridriksson J, Parashos A, Bagić AI, Drane DL, Keller SS, Calhoun VD, Abrol A, Bonilha L, McDonald CR.   +18 more
europepmc   +1 more source

3D Convolutional Neural Network Framework with Deep Learning for Nuclear Medicine.

Scanning, 2022
Manimegalai P, Suresh Kumar R, Valsalan P, Dhanagopal R, Vasanth Raj PT, Christhudass J.   +5 more
europepmc   +1 more source