James D. Dormer
The University of Texas at Dallas(US)
Publications by Year
Research Areas
Medical Image Segmentation Techniques, Advanced Radiotherapy Techniques, Radiomics and Machine Learning in Medical Imaging, Optical Imaging and Spectroscopy Techniques, Maternal and fetal healthcare
Most-Cited Works
- → Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning(2019)132 cited
- → Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning(2020)117 cited
- → Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning(2020)34 cited
- → Heart chamber segmentation from CT using convolutional neural networks(2018)31 cited
- → Imaging technologies for cardiac fiber and heart failure: a review(2018)29 cited
- → Deep learning-based segmentation of the placenta and uterus on MR images(2021)24 cited
- → Segmentation of uterus and placenta in MR images using a fully convolutional neural network(2020)23 cited
- → Augmented reality-assisted biopsy of soft tissue lesions(2020)22 cited
- → Abdominal muscle segmentation from CT using a convolutional neural network(2020)21 cited
- → Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches(2018)14 cited