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Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation


Dec 21, 2022
Ye Li, Junyu Chen, Se-in Jang, Kuang Gong, Quanzheng Li

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* Accepted for oral presentation by IEEE Medical Imaging Conference 2022 

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On Finite Difference Jacobian Computation in Deformable Image Registration


Dec 12, 2022
Yihao Liu, Junyu Chen, Shuwen Wei, Aaron Carass, Jerry Prince

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Improving Visual-textual Sentiment Analysis by Fusing Expert Features


Nov 23, 2022
Junyu Chen, Jie An, Hanjia Lyu, Jiebo Luo

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Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising


Sep 07, 2022
Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong

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* 10 pages 

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Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives


Jun 03, 2022
Jun Li, Junyu Chen, Yucheng Tang, Ce Wang, Bennett A. Landman, S. Kevin Zhou

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A Noise-level-aware Framework for PET Image Denoising


Mar 15, 2022
Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyungsang Kim, Kuang Gong, Quanzheng Li

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TransMorph: Transformer for unsupervised medical image registration


Nov 23, 2021
Junyu Chen, Yong Du, Yufan He, William P. Segars, Ye Li, Eric C. Frey

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* 32 pages, 28 figures 

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Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning


Sep 29, 2021
Junyu Chen, Evren Asma, Chung Chan

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* MICCAI 2021 (Oral Presentation). Proceedings: LNCS 12903, pp 25-35 

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Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks


Apr 22, 2021
Junyu Chen, Ye Li, Licia P. Luna, Hyun Woo Chung, Steven P. Rowe, Yong Du, Lilja B. Solnes, Eric C. Frey

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* This manuscript has been accepted by Medical Physics (in press) 

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