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ORCIDJacob F. Wynne
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2020 – today
- 2024
[i7]Zach Eidex, Mojtaba Safari, Jacob F. Wynne, Richard L. J. Qiu, Tonghe Wang, David Viar Hernandez, Hui-Kuo Shu, Hui Mao, Xiaofeng Yang:
Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas. CoRR abs/2407.02616 (2024)- 2023
- [c6]Chih-Wei Chang, Matt Goette, Nadja Kadom, Yinan Wang, Jacob F. Wynne, Tonghe Wang, Tian Liu, Natia Esiashvili, Jun Zhou, Bree R. Eaton, Xiaofeng Yang:
Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c5]Shaoyan Pan, Chaoqiong Ma, Chih-Wei Chang
, Jacob F. Wynne, Justin Roper, Tian Liu, Xiaofeng Yang:
Multi-structure segmentation on cardiac MRI using multilayer perceptron mixer network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c4]Mingzhe Hu, Jing Wang, Jacob F. Wynne, Tian Liu, Xiaofeng Yang:
A vision-GNN framework for retinopathy classification using optical coherence tomography. Medical Imaging: Computer-Aided Diagnosis 2023 - [c3]Shaoyan Pan, Jacob F. Wynne, Mingzhe Hu, Tonghe Wang, Justin Roper, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Multi-organ CT segmentation using shifted-window multilayer perceptron mixer. Medical Imaging: Image-Guided Procedures 2023 - [c2]Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang:
Deep learning-based multi-organ CT segmentation with adversarial data augmentation. Medical Imaging: Image Processing 2023 - [i6]Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang:
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation. CoRR abs/2302.13172 (2023) - [i5]Yuheng Li, Jacob F. Wynne, Jing Wang, Richard L. J. Qiu, Justin Roper, Shaoyan Pan, Ashesh B. Jani, Tian Liu, Pretesh R. Patel, Hui Mao, Xiaofeng Yang:
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI. CoRR abs/2305.00385 (2023) - [i4]Shaoyan Pan, Elham Abouei, Jacob F. Wynne, Tonghe Wang, Richard L. J. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Justin Roper, Pretesh Patel, David S. Yu, Hui Mao, Xiaofeng Yang:
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model. CoRR abs/2305.19467 (2023) - [i3]Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F. Wynne, Tonghe Wang, Chih-Wei Chang, Justin Roper, Jonathon A. Nye, Hui Mao, Xiaofeng Yang:
Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model. CoRR abs/2308.13072 (2023) - 2022
- [c1]Shaoyan Pan, Yang Lei, Tonghe Wang, Jacob F. Wynne, Justin Roper, Ashesh B. Jani, Pretesh Patel, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Male pelvic multi-organ segmentation using V-transformer network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [i2]Yupei Zhang, Xianjin Dai, Zhen Tian, Yang Lei, Jacob F. Wynne, Pretesh Patel, Yue Chen, Tian Liu, Xiaofeng Yang:
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory. CoRR abs/2209.06952 (2022) - 2021
- [i1]Mingquan Lin, Jacob F. Wynne, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review. CoRR abs/2103.13588 (2021)
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