• Suche: 3D Deep Learning with Python

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121

Urban point cloud classification with automated processing based on deep learning open-source solutions.
La Guardia, Marcello ; Masiero, Andrea ; Bonora, Valentina ; et al.
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 2/W8, p267-272, 6p

CONVOLUTIONAL neural net... POINT cloud GEOSPATIAL data SUPPORT vector machines DATA management DEEP learning
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122

ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models
Piyachat Udomwong ; Thanathat Pamonsupornwichit ; Kanchanok Kodchakorn ; et al.
Frontiers in Bioinformatics, Vol 5 (2025)

antibody binding site pr... deep learning BiLSTM-CNN heavy and light chains paratope identification sequence modeling …
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123

Construction of 3D Human Model from 2D Image using PyTorch and Blender
null Ch. Prathima
Communications on Applied Nonlinear Analysis. 31:477-488

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124

Three-dimensional structured illumination microscopy with enhanced axial resolution
Li, Xuesong

deep learning super-resolution 3D SIM
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125

A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
Heidari, Arash ; Toumaj, Shiva ; Navimipour, Nima Jafari ; et al.
In Computers in Biology and Medicine June 2022 145

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126

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García ; Rachel Sparks ; Sébastien Ourselin
Comput Methods Programs Biomed

FOS: Computer and inform... Computer Science - Machi... Data augmentation Computer Science - Artif... Computer Vision and Patt... Computer Science - Compu... …
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127

Predicting 3D Rigid Body Dynamics with Deep Residual Network
Oketunji, Abiodun Finbarrs ; orcid:0009-0006-4248-

Python C++ Makefile Deep Residual Network Deep Learning Three-Dimensional
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128

SoCube: an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data.
Zhang, Hongning ; Lu, Mingkun ; Lin, Gaole ; et al.
Briefings in Bioinformatics; May2023, Vol. 24 Issue 3, p1-13, 13p

MACHINE learning GENE expression ALGORITHMS RNA sequencing PYTHON programming langu... CELL analysis …
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129

An automated toolbox for microcalcification cluster modeling for mammographic imaging.
Van Camp, Astrid ; Punter, Eva ; Houbrechts, Katrien ; et al.
Medical Physics; Feb2025, Vol. 52 Issue 2, p1335-1349, 15p

BREAST cancer CALCIFICATION RADIOMICS IMAGE processing SIMULATION software DEEP learning …
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130

An interactive deep learning-based approach reveals mitochondrial cristae topologies.
Suga, Shogo ; Nakamura, Koki ; Nakanishi, Yu ; et al.
PLoS Biology. 8/31/2023, Vol. 21 Issue 8, p1-31. 31p. 2 Color Photographs, 4 Charts, 5 Graphs.

DEEP learning ELECTRON microscopy VOLUMETRIC analysis MITOCHONDRIAL membranes PLANT mitochondria MITOCHONDRIA …
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131

Facilitating laboratory automation using a robot with a simple and inexpensive camera detection system.
Wienbruch, Rebecca ; Rupp, Nicole ; Dreischke, Ruven ; et al.
Scientific Reports; 6/20/2025, Vol. 15 Issue 1, p1-12, 12p

IMAGE processing softwar... ARTIFICIAL intelligence COMPUTER vision APPLICATION software RASPBERRY Pi DEEP learning
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132

P10.23.B Predicting local control of brain metastases after stereotactic radiosurgery: A fusion of clinical, radiomics and deep learning features
Kanakarajan, H. ; De Baene, W. ; Sitskoorn, M. ; et al.
Neuro-Oncology vol.26 (2024) nr.Supplement_5 p.v60-v61 [ISSN 1522-8517]

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133

DLSIA: Deep Learning for Scientific Image Analysis.
Roberts, Eric ; Roberts, Eric ; Chavez, Tanny ; et al.
Journal of Applied Crystallography; vol 57, iss Pt 2; 0021-8898

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134

TF3P: Three-Dimensional Force Fields Fingerprint Learned by Deep Capsular Network
Wang, Yanxing ; Hu, Jianxing ; Lai, Junyong ; et al.
Journal of Chemical Information and Modeling. 60(6):2754-2765

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135

A comprehensive approach for osteoporosis detection through chest CT analysis and bone turnover markers: harnessing radiomics and deep learning techniques.
Kaibin Fang ; Xiaoling Zheng ; Xiaocong Lin ; et al.
Frontiers in Endocrinology; 2024, p1-20, 20p

COMPUTED tomography BONE remodeling RADIOMICS FEATURE extraction BONE density DEEP learning
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136

Template Learning: deep learning with domain randomization for particle picking in cryo-electron tomography
Harastani, Mohamad ; Patra, Gurudatt ; Kervrann, Charles ; et al.

Cryo-ET Particle Picking Deep Learning Domain Randomization Physics-based Simulation... Cell Crowding …
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138

Development of a Deep Learning-Based System for Supporting Medical Decision-Making in PI-RADS Score Determination
He Mingze, He Mingze ; E, Enikeev M ; T, Rzaev R ; et al.
Urologiia. :5-11

Male Deep Learning Clinical Decision-Making Humans Prostatic Neoplasms Diagnosis, Computer-Assi... …
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139

Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring
Ioli, Francesco ; Dematteis, Niccolò ; Giordan, Daniele ; et al.
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science: Photogrammetrie, Fernerkundung, Geoinformation. 92(6):657-678

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140

Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
Hetherington, Ashton Ian ; Serfaty, Daniel ; Corrochano Calcerrada, Adrián ; et al.
Experimental Thermal and Fluid Science, ISSN 08941777, 2024-08-01, Vol. 157, No. August

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