Cargando…

CycleGAN for interpretable online EMT compensation

PURPOSE: Electromagnetic tracking (EMT) can partially replace X-ray guidance in minimally invasive procedures, reducing radiation in the OR. However, in this hybrid setting, EMT is disturbed by metallic distortion caused by the X-ray device. We plan to make hybrid navigation clinical reality to redu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Krumb, Henry, Das, Dhritimaan, Chadda, Romol, Mukhopadhyay, Anirban
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2021
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134291/ https://www.ncbi.nlm.nih.gov/pubmed/33719026 http://dx.doi.org/10.1007/s11548-021-02324-1

Ejemplares similares

ADE-CycleGAN: A Detail Enhanced Image Dehazing CycleGAN Network
por: Yan, Bingnan, et al.
Publicado: (2023)

Leveraging spatial uncertainty for online error compensation in EMT
por: Krumb, Henry, et al.
Publicado: (2020)

Comparative analysis of CycleGAN and AttentionGAN on face aging application
por: Sharma, Neha, et al.
Publicado: (2022)

Mol-CycleGAN: a generative model for molecular optimization
por: Maziarka, Łukasz, et al.
Publicado: (2020)

Tackling stain variability using CycleGAN-based stain augmentation
por: Bouteldja, Nassim, et al.
Publicado: (2022)

Application of Improved CycleGAN in Laser-Visible Face Image Translation
por: Qin, Mingyu, et al.
Publicado: (2022)

Image Translation of Breast Ultrasound to Pseudo Anatomical Display by CycleGAN
por: Barkat, Lilach, et al.
Publicado: (2023)

Digital Image Art Style Transfer Algorithm Based on CycleGAN
por: Fu, Xuhui
Publicado: (2022)

Effective Immunohistochemistry Pathology Microscopy Image Generation Using CycleGAN
por: Xu, Zidui, et al.
Publicado: (2020)

HEX: a safe research framework for hybrid EMT X-ray navigation
por: Krumb, Henry J., et al.
Publicado: (2023)

Development of Road Surface Detection Algorithm Using CycleGAN-Augmented Dataset
por: Choi, Wansik, et al.
Publicado: (2021)

Unsupervised Dark-Channel Attention-Guided CycleGAN for Single-Image Dehazing
por: Chen, Jiahao, et al.
Publicado: (2020)

Decomposition of musculoskeletal structures from radiographs using an improved CycleGAN framework
por: Nakanishi, Naoki, et al.
Publicado: (2023)

Spectral Normalized CycleGAN with Application in Semisupervised Semantic Segmentation of Sonar Images
por: Zhang, Zhisheng, et al.
Publicado: (2022)

A novel approach for eliminating metal artifacts based on MVCBCT and CycleGAN
por: Cao, Zheng, et al.
Publicado: (2022)

Laser-Visible Face Image Translation and Recognition Based on CycleGAN and Spectral Normalization
por: Qin, Mingyu, et al.
Publicado: (2023)

Study of low-dose PET image recovery using supervised learning with CycleGAN
por: Zhao, Kui, et al.
Publicado: (2020)

Improving de novo Molecule Generation by Embedding LSTM and Attention Mechanism in CycleGAN
por: Wang, Feng, et al.
Publicado: (2021)

Depth image conversion model based on CycleGAN for growing tomato truss identification
por: Jung, Dae-Hyun, et al.
Publicado: (2022)

Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN
por: Liang, Zhaohui, et al.
Publicado: (2022)

Unsupervised segmentation and quantification of COVID-19 lesions on computed Tomography scans using CycleGAN
por: Connell, Marc, et al.
Publicado: (2022)

A New Method for Training CycleGAN to Enhance Images of Cold Seeps in the Qiongdongnan Sea
por: Li, Yuanheng, et al.
Publicado: (2023)

Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning()
por: Ghassemi, Navid, et al.
Publicado: (2023)

Enhanced CycleGAN Network with Adaptive Dark Channel Prior for Unpaired Single-Image Dehazing
por: Xu, Yijun, et al.
Publicado: (2023)

Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer
por: Yang, Kai-Yao, et al.
Publicado: (2023)

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks
por: Sandfort, Veit, et al.
Publicado: (2019)

Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation
por: Pai, Suraj, et al.
Publicado: (2023)

Short-Axis PET Image Quality Improvement by Attention CycleGAN Using Total-Body PET
por: Shang, Chong, et al.
Publicado: (2022)

Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
por: Bargshady, Ghazal, et al.
Publicado: (2022)

Central Arterial Dynamic Evaluation from Peripheral Blood Pressure Waveforms Using CycleGAN: An In Silico Approach
por: Aguirre, Nicolas, et al.
Publicado: (2023)

CBCT-based synthetic CT generated using CycleGAN with HU correction for adaptive radiotherapy of nasopharyngeal carcinoma
por: Jihong, Chen, et al.
Publicado: (2023)

Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction
por: Zhu, Hong, et al.
Publicado: (2020)

Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases
por: Mabu, Shingo, et al.
Publicado: (2021)

How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study
por: Sarv Ahrabi, Sima, et al.
Publicado: (2022)

Imaging Study of Pseudo-CT Synthesized From Cone-Beam CT Based on 3D CycleGAN in Radiotherapy
por: Sun, Hongfei, et al.
Publicado: (2021)

SR-CycleGAN: super-resolution of clinical CT to micro-CT level with multi-modality super-resolution loss
por: Zheng, Tong, et al.
Publicado: (2022)

Generating Defective Epoxy Drop Images for Die Attachment in Integrated Circuit Manufacturing via Enhanced Loss Function CycleGAN
por: Alam, Lamia, et al.
Publicado: (2023)

A Comparison Study Between CNN-Based Deformed Planning CT and CycleGAN-Based Synthetic CT Methods for Improving iCBCT Image Quality
por: Yang, Bo, et al.
Publicado: (2022)

Deep UV-excited fluorescence microscopy installed with CycleGAN-assisted image translation enhances precise detection of lymph node metastasis towards rapid intraoperative diagnosis
por: Sato, Junya, et al.
Publicado: (2023)

Erratum: A comparison study between CNN-based deformed planning CT and CycleGAN-based synthetic CT methods for improving iCBCT image quality
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_agd65c5ao245715mfku1k75j0c