James D. Dormer

21 papers B 2Unranked 19

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	A low-cost PVC-based dual-modality kidney phantom. Image-Guided Procedures Jeff Young, Maysam Shahedi, James D. Dormer, Brett Johnson, Jeffrey Gahan, Baowei Fei
2022	—	`conf`	An augmented reality-assisted visualization system for potential applications in prostate biopsy. Image-Guided Procedures Patric Bettati, James D. Dormer, Maysam Shahedi, Baowei Fei
2022	—	`conf`	Automatic segmentation of uterine cavity and placenta on MR images using deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging Maysam Shahedi, James D. Dormer, Quyen N. Do, Yin Xi, Matthew A. Lewis, Christina L. Herrera, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei
2022	B	`conf`	CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. Image Processing James D. Dormer, Michael Villordon, Maysam Shahedi, Ka'Toria N. Leitch, Quyen N. Do, Yin Xi, Matthew A. Lewis, Ananth J. Madhuranthakam, Christina L. Herrera, Catherine Y. Spong, Diane M. Twickler, Baowei Fei
2022	—	`conf`	Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features. Computer-Aided Diagnosis Ka'Toria N. Leitch, Maysam Shahedi, James D. Dormer, Quyen N. Do, Yin Xi, Matthew A. Lewis, Christina L. Herrera, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei
2022	—	`conf`	Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. Image-Guided Procedures Ted Shi, Maysam Shahedi, Kayla Caughlin, James D. Dormer, Ling Ma, Baowei Fei
2021	—	`conf`	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). Computer-Aided Diagnosis Yin Xi, Maysam Shahedi, Quyen N. Do, James D. Dormer, Matthew A. Lewis, Baowei Fei, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler
2021	—	`conf`	Virtual reality assisted cardiac catheterization. Image-Guided Procedures Patric Bettati, James D. Dormer, Jeff Young, Maysam Shahedi, Baowei Fei
2020	—	`conf`	Abdominal muscle segmentation from CT using a convolutional neural network. Biomedical Applications in Molecular, Structural, and Functional Imaging Ka'Toria Edwards, Avneesh Chhabra, James D. Dormer, Phillip Jones, Robert D. Boutin, Leon Lenchik, Baowei Fei
2020	—	`conf`	Augmented reality-assisted biopsy of soft tissue lesions. Image-Guided Procedures Patric Bettati, Majid Chalian, James Huang, James D. Dormer, Maysam Shahedi, Baowei Fei
2020	—	`conf`	Exploiting confident information for weakly supervised prostate segmentation based on image-level labels. Image-Guided Procedures Zhang Chen, Zhiqiang Tian, Xiaojian Li, Yinshu Zhang, James D. Dormer
2020	—	`conf`	Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. Biomedical Applications in Molecular, Structural, and Functional Imaging Christopher T. Tran, Martin T. Halicek, James D. Dormer, Animesh Tandon, Tarique Hussain, Baowei Fei
2020	—	`conf`	Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning. Digital Pathology Ling Ma, Martin T. Halicek, Ximing Zhou, James D. Dormer, Baowei Fei
2020	—	`conf`	Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images. Image-Guided Procedures James D. Dormer, Md. Fiaz Islam Bhuiyan, Nahian Rahman, Nancy Joanna Deaton, Jun Sheng, Muralidhar Padala, Jaydev P. Desai, Baowei Fei
2020	B	`conf`	Incorporating minimal user input into deep-learning-based image segmentation. Image Processing Maysam Shahedi, Martin T. Halicek, James D. Dormer, Baowei Fei
2020	—	`conf`	Multi-step segmentation for prostate MR image based on reinforcement learning. Image-Guided Procedures Xiangyu Si, Zhiqiang Tian, Xiaojian Li, Zhang Chen, Gen Li, James D. Dormer
2020	—	`conf`	Segmentation of uterus and placenta in MR images using a fully convolutional neural network. Computer-Aided Diagnosis Maysam Shahedi, James D. Dormer, T. T. Anusha Devi, Quyen N. Do, Yin Xi, Matthew A. Lewis, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei
2020	—	`conf`	Siamese neural networks for the classification of high-dimensional radiomic features. Computer-Aided Diagnosis Abhishaike Mahajan, James D. Dormer, Qinmei Li, Deji Chen, Zhenfeng Zhang, Baowei Fei
2019	—	`conf`	Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women. Computer-Aided Diagnosis Qinmei Li, James D. Dormer, Priyanka Daryani, Deji Chen, Zhenfeng Zhang, Baowei Fei
2018	—	`conf`	Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches. Computer-Aided Diagnosis James D. Dormer, Martin T. Halicek, Ling Ma, Carolyn M. Reilly, Eduard Schreibmann, Baowei Fei
2018	—	`conf`	Heart chamber segmentation from CT using convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging James D. Dormer, Ling Ma, Martin T. Halicek, Carolyn M. Reilly, Eduard Schreibmann, Baowei Fei