Výsledky vyhľadávania - 3D Conventional Autoencoder

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders

Autori: Muhammad Sajid Kaleem Razzaq Malik Ateeq Ur Rehman a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Predmety: 2D, Vision Transformers, 3D, Masked Autoencoders, 2D Semantics, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/3143c9ff3a0846e5bbefb25e2bfc10b7

A combination method of stacked autoencoder and 3D deep residual network for hyperspectral image classification

Autori: Jinling Zhao Lei Hu Yingying Dong a ďalší

Zdroj: International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102459- (2021)

Predmety: Deep learning, Hyperspectral remote sensing, Residual network, 3D convolutional neural network, Spectral-spatial features, Stacked autoencoder, Physical geography, GB3-5030, Environmental sciences, GE1-350

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0303243421001665; https://doaj.org/toc/1569-8432

Prístupová URL adresa: https://doaj.org/article/4549b09e51ee4d4cbd419b3cbe97ef77

Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans

Autori: Rafael-Palou, Xavier

Prispievatelia: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: González Ballester, Miguel Ángel, Piella Fenoy, Gemma, Ribas Ripoll, Vicent Jordi

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Lung cancer prediction, Nodule detection, Nodule segmentation, Nodule characterization, Nodule malignancy estimation, Nodule follow-up, Nodule re-identification, Nodule growth forecasting, Uncertainty modelling and quantification, Convolutional neural networks, Variational autoencoders, Siamese neural networks, Generative networks, Transfer learning, Computer vision, Deep learning, Machine learning, Predicció del càncer de pulmó, Detecció de nòduls, Segmentació de nòduls, Caracterització de nòduls, Predicció de malignitat de nòduls, Seguiment de nòduls, Re-identificació de nòduls, Creixement de nòduls, Modelatge i quantificació de la malignitat, Xarxes neuronals convolucionals, Autoencoders variacional, Xarxes neuronals siameses, Xarxes generatives, Aprenentatge per transferència, Pipelines, Visió per computador, Aprenentatge profund, Aprenentatge automàtic

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/672964

Deep learning framework for analyzing birefringence imaging by incorporating optical polarization overlap in stress-induced ferroelectric SrTiO3

Autori: Hirotaka Manaka Shoutarou Katayama Soichiro Honda a ďalší

Zdroj: Science and Technology of Advanced Materials: Methods, Vol 5, Iss 1 (2025)

Predmety: LSTM, temperature series principal component analysis, 3D convolutional autoencoder, temperature series forest, stress-induced ferroelectricity, SrTiO3, Materials of engineering and construction. Mechanics of materials, TA401-492

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2766-0400

Prístupová URL adresa: https://doaj.org/article/3a6056fe20754fb79f302220391b0037

The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization.

Autori: Xu, Feng Li, Zhiyong Wen, Bo a ďalší

Zdroj: Geofluids; 3/22/2021, p1-11, 11p, 2 Color Photographs, 13 Diagrams, 1 Graph

Predmety: PATTERN recognition systems, SEISMIC testing, CLUSTER analysis (Statistics), SURFACE fault ruptures, STATISTICS, SIGNAL convolution, VIDEO coding

The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization

Autori: Feng Xu Zhiyong Li Bo Wen a ďalší

Zdroj: Geofluids, Vol 2021 (2021)

Predmety: Geology, QE1-996.5

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1468-8115; https://doaj.org/toc/1468-8123

Prístupová URL adresa: https://doaj.org/article/4d1b193c6ba045a2ae2f0dac472bae54

Comparing Functional and Effective Connectivity Features in Diagnosis of Autism Spectrum Disorder Using Stacked Autoencoder by Resting-State fMRI Data.

Autori: Navaei, Pegah Khadem, Ali Zaferani, Effat Jalaeian

Zdroj: Frontiers in Biomedical Technologies; Autumn2025, Vol. 12 Issue 4, p830-843, 14p

Predmety: AUTISM spectrum disorders, FUNCTIONAL connectivity, AUTOENCODERS, ARTIFICIAL neural networks, FUNCTIONAL magnetic resonance imaging, GRANGER causality test

A multimodal fusion network based on variational autoencoder for distinguishing SCLC brain metastases from NSCLC brain metastases.

Autori: Linyan X Jie C Kexuan Z a ďalší

Zdroj: Medical physics [Med Phys] 2025 Jul; Vol. 52 (7), pp. e17816. Date of Electronic Publication: 2025 May 02.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE

Výrazy zo slovníka MeSH: Brain Neoplasms*/secondary , Brain Neoplasms*/diagnostic imaging , Carcinoma, Non-Small-Cell Lung*/pathology , Carcinoma, Non-Small-Cell Lung*/diagnostic imaging , Lung Neoplasms*/pathology , Small Cell Lung Carcinoma*/diagnostic imaging , Small Cell Lung Carcinoma*/pathology , Image Processing, Computer-Assisted*/methods, Humans ; Diagnosis, Differential ; Magnetic Resonance Imaging ; Autoencoder

Subjective Visual Quality Assessment of Compressed Light Field Images: Learning-based vs. Conventional Methods

Autori: Zerman, Emin Takhtardeshir, Soheib Trioux, Anthony a ďalší

Zdroj: Plenoptima IMMERSE.

Predmety: light field compression, subjective quality assessment, cross-lab study, perceived quality, autoencoders

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55990

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review.

Autori: Zhen Zhao Joon Huang Chuah Khin Wee Lai a ďalší

Zdroj: Frontiers in Computational Neuroscience; 2/6/2023, Vol. 17, p1-16, 16p

Predmety: DEEP learning, ALZHEIMER'S disease, MACHINE learning, DIAGNOSIS, MAGNETIC resonance imaging, CONVOLUTIONAL neural networks

Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds

Autori: Liu, Kai You, Kang Gao, Pan

Témy: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2408.10543

Sensor-Driven Surrogate Modeling and Control of Nonlinear Dynamical Systems Using FAE-CAE-LSTM and Deep Reinforcement Learning

Autori: Kherad, M. Moayyedi, M. K. Fotouhi-Ghazvini, F. a ďalší

Zdroj: Sensors. 25(16)

Predmety: Autoencoders, Control Of Dynamical Systems, Cyber-physical Systems, Deep Reinforcement Learning, Long Short-term Memory, Sensor-driven Modeling, Circular Cylinders, Computer Control Systems, Convolution, Dynamical Systems, Dynamics, Embedded Systems, Flow Control, Fuel Additives, Nonlinear Dynamical Systems, Real Time Control, Robust Control, Auto Encoders, Control Of Dynamical System, Cybe-physical Systems, High-dimensional, Higher-dimensional, Reinforcement Learning Agent, Reinforcement Learnings, Short Term Memory

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-73172
https://doi.org/10.3390/s25165149

Formulation Strategies for Immunomodulatory Natural Products in 3D Tumor Spheroids and Organoids: Current Challenges and Emerging Solutions.

Autori: Hong, Chang-Eui Lyu, Su-Yun

Zdroj: Pharmaceutics; Oct2025, Vol. 17 Issue 10, p1258, 69p

Predmety: IMMUNOTHERAPY, NATURAL products, NEW product development, IMMUNOREGULATION, TREATMENT effectiveness, ORGANOIDS, TUMOR microenvironment

Deep spectral unmixing framework via 3D denoising convolutional autoencoder.

Autori: Jia, Peiyuan Zhang, Miao Shen, Yi

Zdroj: IET Image Processing (Wiley-Blackwell); May2021, Vol. 15 Issue 7, p1399-1409, 11p

Predmety: HYPERSPECTRAL imaging systems, IMAGE denoising, IMAGE processing, PIXELS, GEOMETRIC analysis, DATA

Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow.

Autori: Ruediger-Flore, Patrick Klar, Matthias Hussong, Marco a ďalší

Zdroj: Procedia CIRP. 2024, Vol. 121, p138-143. 6p.

Benchmarking 3D generative autoencoders for pseudo-healthy reconstruction of brain ¹⁸F-fluorodeoxyglucose positron emission tomography.

Autori: Hassanaly, Ravi Solal, Maëlys Colliot, Olivier a ďalší

Zdroj: Journal of Medical Imaging; Sep/Oct2025, Vol. 12 Issue 5, p54005-54005, 1p

Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound

Autori: Wulff, Daniel Hagenah, Jannis Ernst, Floris

Témy: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2201.03319

Applications of convolutional neural network-based nonlinear mode decomposition to three-dimensional fluid flows / 畳み込みニューラルネットワークに基づく非線形モード分解の3次元流れへの応用

Autori: Kai FUKAMI Kazuto HASEGAWA Koji FUKAGATA a ďalší

Zdroj: The Proceedings of Mechanical Engineering Congress, Japan. 2021, :J063-12

Intelligent Differentiation Framework for Lewy Body Dementia and Alzheimer's Disease Using Adaptive Multi-Cascaded ResNet–Autoencoder–LSTM Network.

Autori: Sravani, K. RaviSankar, V.

Zdroj: International Journal of Image & Graphics; Nov2025, Vol. 25 Issue 6, p1-30, 31p

MultiModal craniocerebral diagnose based on 3D CT and image reports.

Autori: He W Chen Q Gao W a ďalší

Zdroj: Scientific reports [Sci Rep] 2025 Dec 01. Date of Electronic Publication: 2025 Dec 01.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE