James D. Dormer

Orcid: 0000-0002-0719-6697

According to our database1, James D. Dormer authored at least 21 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

A low-cost PVC-based dual-modality kidney phantom.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

An augmented reality-assisted visualization system for potential applications in prostate biopsy.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Automatic segmentation of uterine cavity and placenta on MR images using deep learning.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Virtual reality assisted cardiac catheterization.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS).
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Incorporating minimal user input into deep-learning-based image segmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Multi-step segmentation for prostate MR image based on reinforcement learning.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Exploiting confident information for weakly supervised prostate segmentation based on image-level labels.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Augmented reality-assisted biopsy of soft tissue lesions.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Segmentation of uterus and placenta in MR images using a fully convolutional neural network.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Siamese neural networks for the classification of high-dimensional radiomic features.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Abdominal muscle segmentation from CT using a convolutional neural network.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Heart chamber segmentation from CT using convolutional neural networks.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018


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