• Suche: 3D Deep Learning with Python

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81

MELAGE: A purely python based Neuroimaging software (Neonatal)
Jafrasteh, Bahram ; López, Simón Pedro Lubián ; Fernández, Isabel Benavente

Electrical Engineering a... Computer Science - Machi... Statistics - Application... Statistics - Computation
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82

Template Learning: Deep learning with domain randomization for particle picking in cryo-electron tomography.
Harastani, Mohamad ; Patra, Gurudatt ; Kervrann, Charles ; et al.
Nature Communications; 10/3/2025, Vol. 16 Issue 1, p1-15, 15p

DEEP learning ELECTRON microscopy PARTICLE detectors DATA augmentation
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83

Urban point cloud classification with automated processing based on deep learning open-source solutions
M. La Guardia ; A. Masiero ; V. Bonora ; et al.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W8-2024, Pp 267-272 (2024)

Technology Point Clouds, Deep Learn... 0211 other engineering a... Applied optics. Photonic... 02 engineering and techn... TA1-2040 …
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84

Adaptive fish school search optimized resnet for multi-view 3D objects reconstruction.
Premalatha, V. ; Parveen, Nikhat
Multimedia Tools & Applications; Sep2024, Vol. 83 Issue 32, p77639-77666, 28p

FISH schooling COMPUTER vision FEATURE extraction IMAGE reconstruction REAR-screen projection DEEP learning
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85

ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools
Hetherington, Ashton ; Corrochano, Adrián ; Abadía-Heredia, Rodrigo ; et al.
In Computer Physics Communications August 2024 301

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86

Development of a Novel ResNet-Based Deep Learning Model for Accurate Diagnosis of Osteoporosis via 3D Computed Tomography Scans of the Spine.
Li-Heng Shaw ; Chia-Hui Lin ; Gao-Chang Tu ; et al.
Journal of Spine Research. 2025, Vol. 16 Issue 3, p540-540. 1/2p.

IMAGE recognition (Compu... LUMBAR vertebrae THREE-dimensional imagin... COMPUTED tomography DEEP learning
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87

3D Dose-Driven, Automatic VMAT Machine Parameter Generation with Deep Learning
Zhu, S. ; Maslowski, A. ; Cunningham, J.M. ; et al.
In International Journal of Radiation Oncology, Biology, Physics 1 November 2022 114(3) Supplement:e581-e582

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88

Deep neural network model for better print line connection in fused deposition modeling.
Gotkhindikar, Nitin N. ; Singh, Mahipal ; Kataria, Ravinder
AIP Conference Proceedings. 2024, Vol. 2986 Issue 1, p1-7. 7p.

FUSED deposition modelin... THREE-dimensional printi... DEEP learning FOOTPRINTS COMPRESSIVE strength TENSILE strength
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89

TorchGDM: A GPU-Accelerated Python Toolkit for Multi-Scale Electromagnetic Scattering with Automatic Differentiation
Ponomareva, Sofia ; Patoux, Adelin ; Majorel, Clément ; et al.
SciPost Phys. Codebases 60 (2025)

Optics Computational Physics
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90

Novel Deep Learning Model for Predicting Wind Velocity and Power Estimation in Advanced INVELOX Wind Turbines
K. Ramesh Kumar ; M. Selvaraj
Journal of Applied Fluid Mechanics, Vol 16, Iss 6, Pp 1256-1268 (2023)

deep learning advanced invelox wind tu... long short-term memory black widow optimization mayfly optimization python …
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91

Equivariant deep learning for 3D topology optimization
Erzmann, David

Machine Learning Deep Learning Topology Optimization Neural Networks SIMP
Dissertation
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92

Advanced Glacier Monitoring with ICEpy4D : A Python Toolkit for Multi-Epoch Analysis using Deep-Learning Photogrammetry
Ioli, F. ; Nex, F. ; Pinto, L. ; et al.
VGC 2023 - Unveiling the dynamic Earth with digital methods : 5th Virtual Geoscience Conference ; Book of Abstracts. :42-43

ddc:550 Time-lapse cameras, low-...
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93

A Deep Learning-Aided Method for Precise Identification of Microporosity: A Case Study from the Marine Hydrocarbon Reservoirs in the South China Sea
Guo, Dingrui ; Golsanami, Naser ; Zhang, Zhi ; et al.
Journal of Ocean University of China: Oceanic and Coastal Sea Research. 24(6):1450-1468

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94

[Re] Replicating and Improving GAN2Shape Through Novel Shape Priors and Training Steps
Galatolo, Alessio ; Nilsson, Alfred

python machine learning rescience c pytorch deep learning gan2shape …
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95

Random bridge generator as a platform for developing computer vision-based structural inspection algorithms
Cheng, Haojia ; Chai, Wenhao ; Hu, Jiabao ; et al.
In Journal of Infrastructure Intelligence and Resilience June 2024 3(2)

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96

Enhanced dynamic calibration in an instrumented cycling pedal: A gradient boosting approach
Ebbecke, Jonas ; Potthast, Wolfgang ; Viellehner, Josef
In Measurement 1 December 2025 256 Part B

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97

[Re] Replicating and Improving GAN2Shape Through Novel Shape Priors and Training Steps
Alessio Galatolo ; orcid:0000-0002-9289- ; Alfred Nilsson ; et al.

rescience c machine learning deep learning python pytorch gan2shape …
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98

Sequential Human Assembly and Disassembly Motions in Human-Robot Coexisting Environments.
Liu, Zhihao ; Wang, Tianyu ; Ji, Zhenrui ; et al.
Scientific Data; 11/11/2025, Vol. 12 Issue 1, p1-11, 11p

HUMAN-robot interaction AUTONOMOUS robots ACQUISITION of data HUMAN behavior models DEEP learning HUMAN mechanics
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99

PreProcMed: Automated Medical Image Processing Framework for Deep Learning Applications
Manuella Kadar ; Ina Adamachi ; Alexandru Avram
WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE. 22:181-189

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100

Personalized synthetic MR imaging with deep learning enhancements.
Pal, Subrata ; Dutta, Somak ; Maitra, Ranjan
Magnetic Resonance in Medicine; Apr2023, Vol. 89 Issue 4, p1634-1643, 10p

MAGNETIC resonance imagi... DEEP learning MAXIMUM likelihood stati... THREE-dimensional imagin... SPEECH processing system... INVERSE problems
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