Intraoperative organ motion models with an ensemble of conditional generative adversarial networks

Intraoperative organ motion models with an ensemble of conditional generative adversarial networks

In this paper, we describe how a patient-specific, ultrasound-probe-induced prostate motion model can be directly generated from a single preoperative MR image. Our motion model allows for sampling from the conditional distribution of dense displacement fields, is encoded by a generative neural netw...

Full description

Bibliographic Details
Main Authors:	Hu, Y, Gibson, E, Vercauteren, T, Ahmed, HU, Emberton, M, Moore, CM, Noble, JA, Barratt, DC
Format:	Conference item
Language:	English
Published:	Springer 2017

Similar Items

Freehand ultrasound image simulation with spatially-conditioned generative adversarial networks
by: Yipeng Hu, et al.
Published: (2017)

Conditional segmentation in lieu of image registration
by: Hu, Y, et al.
Published: (2019)

Generative Adversarial Ensemble Learning for Face Forensics
by: Jae-Yong Baek, et al.
Published: (2020-01-01)

Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis
by: Ahmed Alfakeeh, et al.
Published: (2023-01-01)

An Ensemble of Transfer Learning Models for the Prediction of Skin Cancers with Conditional Generative Adversarial Networks
by: Amal Al-Rasheed, et al.
Published: (2022-12-01)

Weakly-supervised convolutional neural networks for multimodal image registration
by: Hu, Y, et al.
Published: (2018)

Predicting ICU Mortality Based on Generative Adversarial Nets and Ensemble Methods
by: Mingyi Wei, et al.
Published: (2023-01-01)

Multi-discriminator Generative Adversarial Networks Based on Selective Ensemble Learning
by: SHEN Ruicai, ZHAI Junhai, HOU Yingzhen
Published: (2022-06-01)

Improving the adversarial transferability with relational graphs ensemble adversarial attack
by: Jiatian Pi, et al.
Published: (2023-02-01)

Leveraging Ensemble Learning with Generative Adversarial Networks for Imbalanced Software Defects Prediction
by: Amani Alqarni, et al.
Published: (2023-12-01)

Universal Adversarial Training Using Auxiliary Conditional Generative Model-Based Adversarial Attack Generation
by: Hiskias Dingeto, et al.
Published: (2023-07-01)

Evaluation of motion artefact reduction depending on the artefacts’ directions in head MRI using conditional generative adversarial networks
by: Keisuke Usui, et al.
Published: (2023-05-01)

Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition
by: Huma Naz, et al.
Published: (2023-01-01)

Towards imbalanced image classification : a generative adversarial network ensemble learning method
by: Huang, Yangru, et al.
Published: (2020)

Towards Imbalanced Image Classification: A Generative Adversarial Network Ensemble Learning Method
by: Yangru Huang, et al.
Published: (2020-01-01)

Conditional Generative Adversarial Network-Based Image Denoising for Defending Against Adversarial Attack
by: Haibo Zhang, et al.
Published: (2021-01-01)

Generative adversarial networks based motion learning towards robotic calligraphy synthesis
by: Xiaoming Wang, et al.
Published: (2024-04-01)

Motion correction in MR image for analysis of VSRAD using generative adversarial network.
by: Nobukiyo Yoshida, et al.
Published: (2022-01-01)

Addressing Motion Blurs in Brain MRI Scans Using Conditional Adversarial Networks and Simulated Curvilinear Motions
by: Shangjin Li, et al.
Published: (2022-03-01)

Ship Detection under Low-Visibility Weather Interference via an Ensemble Generative Adversarial Network
by: Xinqiang Chen, et al.
Published: (2023-10-01)

Regional attention generative adversarial network
by: Wei Wang, et al.
Published: (2019-04-01)

Generative Adversarial Network for Class-Conditional Data Augmentation
by: Jeongmin Lee, et al.
Published: (2020-11-01)

Estimation with Uncertainty via Conditional Generative Adversarial Networks
by: Minhyeok Lee, et al.
Published: (2021-09-01)

Conditional Generative Adversarial Networks for modelling fuel sprays
by: Cihan Ates, et al.
Published: (2023-04-01)

Conditional Adversarial Learning for Empathetic Dialogue Response Generation
by: Ming-Hsiang Su, et al.
Published: (2023-01-01)

Recurrent Conditional Generative Adversarial Network for Image Deblurring
by: Jing Liu, et al.
Published: (2019-01-01)

Attentively Conditioned Generative Adversarial Network for Semantic Segmentation
by: Ariyo Oluwasanmi, et al.
Published: (2020-01-01)

Face Depth Estimation With Conditional Generative Adversarial Networks
by: Abdullah Taha Arslan, et al.
Published: (2019-01-01)

Generation Method for Shaded Relief Based on Conditional Generative Adversarial Nets
by: Shaomei Li, et al.
Published: (2022-07-01)

Ensemble of Random Binary Output Encoding for Adversarial Robustness
by: Ye-Ji Mun, et al.
Published: (2019-01-01)

Targeted Speech Adversarial Example Generation With Generative Adversarial Network
by: Donghua Wang, et al.
Published: (2020-01-01)

Exploring generative adversarial networks and adversarial training
by: Afia Sajeeda, et al.
Published: (2022-06-01)

Longitudinal image registration with temporal-order and subject-specificity discrimination
by: Yang, Q, et al.
Published: (2020)

Enhancing Precision with an Ensemble Generative Adversarial Network for Steel Surface Defect Detectors (EnsGAN-SDD)
by: Fityanul Akhyar, et al.
Published: (2022-06-01)

3D Model Generation and Reconstruction Using Conditional Generative Adversarial Network
by: Haisheng Li, et al.

Twitter sentiment analysis using conditional generative adversarial network
by: V. Mahalakshmi, et al.
Published: (2024-01-01)

Colorization of Logo Sketch Based on Conditional Generative Adversarial Networks
by: Nannan Tian, et al.
Published: (2021-02-01)

Conditional Generative Adversarial Networks for Domain Transfer: A Survey
by: Guoqiang Zhou, et al.
Published: (2022-08-01)

Quality-Aware Conditional Generative Adversarial Networks for Precipitation Nowcasting
by: Jahnavi Jonnalagadda, et al.
Published: (2023-06-01)

Preset Conditional Generative Adversarial Network for Massive MIMO Detection
by: Yongzhi Yu, et al.
Published: (2023-01-01)