Search Results - 3D Deep Learning with Python

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DeepProjection: specific and robust projection of curved 2D tissue sheets from 3D microscopy using deep learning
Daniel Haertter ; Xiaolei Wang ; Stephanie M. Fogerson ; et al.
Development. 149

0301 basic medicine Microscopy 0303 health sciences 03 medical and health sc... Deep Learning Imaging, Three-Dimension... …

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Deep learning ensemble method for classification of satellite hyperspectral images
Iyer, Praveen ; A, Sriram ; Lal, Shyam
In Remote Sensing Applications: Society and Environment August 2021 23

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Fully automated on-scanner aortic four-dimensional flow magnetic resonance imaging processing and hemodynamic analysis
Baraboo, Justin ; Scott, Michael ; Berhane, Haben ; et al.
In Journal of Cardiovascular Magnetic Resonance Winter 2025 27(2)

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CellWalker: a user-friendly and modular computational pipeline for morphological analysis of microscopy images
Harshavardhan Khare ; Nathaly Dongo Mendoza ; Chiara Zurzolo ; et al.
Bioinformatics

Advanced Techniques in B... Parallel computing 0301 basic medicine Interface (matter) Artificial intelligence Deep Learning in Medical... …

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Advances in Support Vector Machines and Deep Learning for Medical Image Analysis: A Comprehensive Review
Pradipto Chatterjee, Nikhil Srivastava ; Pradipto Chatterjee, Nikhil Srivastava
International Journal of Sciences and Innovation Engineering; Vol. 2 No. 6 (2025): IJSCI VOLUME-02 ISSUE-06 JUNE 2025; 748-755; 3049-0251; 10.70849/

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

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Radar-Based Target Tracking Using Deep Learning Approaches with Unscented Kalman Filter.
Patrick, Uwigize ; Rao, S. Koteswara ; Jagan, B. Omkar Lakshmi ; et al.
Applied Sciences (2076-3417); Sep2024, Vol. 14 Issue 18, p8332, 20p

CONVOLUTIONAL neural net... MACHINE learning MONTE Carlo method RADAR targets KALMAN filtering PYTHON programming langu... …

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Localization and Registration of 2D Histological Mouse Brain Images in 3D Atlas Space
Sadeghi M. ; Ramos-Prats A. ; Neto P. ; et al.
Neuroinformatics

Mice Imaging, Three-Dimension... Research Image Processing, Comput... 2D in 3D localization Deep learning …

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3D µCT images of specimens of carbon fiber reinforced polyamide 6 plaque, fiber orientation tensor data of these images, and three Python code files for two different algebraic and one machine learning based tensor interpolation algorithms
Blarr, Juliane

Materials Science Dataset Fiber reinforced polymer Fiber orientation tensor Machine Learning Artificial neural networ... …

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MicrographCleaner: A python package for cryo-EM micrograph cleaning using deep learning
Ministerio de Economía y Competitividad (España) ; Comunidad de Madrid ; Sánchez-García, Rubén ; et al.

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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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Deep Learning Models to Predict Finishing Pig Weight Using Point Clouds.
Paudel, Shiva ; de Sousa, Rafael Vieira ; Sharma, Sudhendu Raj ; et al.
Animals (2076-2615). Jan2024, Vol. 14 Issue 1, p31. 13p.

UNIVERSIDADE de Sao Paul... DEEP learning POINT cloud CONVOLUTIONAL neural net... COMPUTER vision SWINE …

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Designing a TPMS metamaterial via deep learning and topology optimization.
Viswanath, Asha ; Abueidda, Diab W. ; Modrek, Mohamad ; et al.
Frontiers in Mechanical Engineering; 2024, p1-18, 18p

UNIT cell SUPERVISED learning PYTHON programming langu... FINITE element method MINIMAL surfaces

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A Comprehensive Benchmark for RNA 3D Structure-Function Modeling
Wyss, Luis ; Mallet, Vincent ; Karroucha, Wissam ; et al.

Biomolecules Machine Learning

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detailed record from Arxiv

SpheroidJ: An Open-Source Set of Tools for Spheroid Segmentation
Lacalle, David ; Castro-Abril, Héctor Alfonso ; Randelovic, Teodora ; et al.
In Computer Methods and Programs in Biomedicine March 2021 200

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Model Reconstruction from Small-Angle X-Ray Scattering Data Using Deep Learning Methods
He, Hao ; Liu, Can ; Liu, Haiguang
In iScience 27 March 2020 23(3)

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Active deep learning for segmentation of industrial CT data
Michen, Markus ; Rehak, Markus ; Haßler, Ulf
tm - Technisches Messen. 90(7-8):500-511

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CL-Zur Vollanzeige bei DeGruyter

AIDM-CT: software for cone-beam X-ray tomography and deep-learning-based analysis.
Wang, Hongwei ; Xu, Cong ; Guan, Yu ; et al.
Nondestructive Testing & Evaluation. Aug2025, Vol. 40 Issue 8, p3858-3881. 24p.

CONE beam computed tomog... NONDESTRUCTIVE testing ACQUISITION of data QUANTITATIVE research IMAGE reconstruction IMAGE segmentation …

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DeepRank2: Mining 3D Protein Structures with Geometric Deep Learning
Giulia Crocioni ; orcid:0000-0002-0823- ; Dani L. Bodor ; et al.

Python PyTorch structural biology geometric deep learning 3D protein structures protein-protein interfac... …

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EVCMR: A tool for the quantitative evaluation and visualization of cardiac MRI data
Kim, Yoon-Chul ; Kim, Khu Rai ; Choi, Kwanghee ; et al.
In Computers in Biology and Medicine August 2019 111

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