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Dzung L. Pham
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Publications
- 2023
- [c74]Samuel W. Remedios, Shuo Han, Lianrui Zuo, Aaron Carass, Dzung L. Pham, Jerry L. Prince, Blake E. Dewey:
Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap. SASHIMI@MICCAI 2023: 118-128 - [c73]Samuel W. Remedios, Blake E. Dewey, Aaron Carass, Dzung L. Pham, Jerry L. Prince:
A deep generative prior for high-resolution isotropic MR head slices. Medical Imaging: Image Processing 2023 - [i10]Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince:
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. CoRR abs/2312.01460 (2023) - 2022
- [c71]Pouria Tohidi, Samuel W. Remedios, Danielle L. Greenman, Muhan Shao, Shuo Han, Blake E. Dewey, Jacob C. Reinhold, Yi-Yu Chou, Dzung L. Pham, Jerry L. Prince, Aaron Carass:
Multiple Sclerosis brain lesion segmentation with different architecture ensembles. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c70]Yuan Xue, Blake E. Dewey, Lianrui Zuo, Shuo Han, Aaron Carass, Peiyu Duan, Samuel W. Remedios, Dzung L. Pham, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement. SASHIMI@MICCAI 2022: 55-65 - [c69]Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince:
Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images. MICCAI (6) 2022: 613-622 - [c68]Yi-Yu Chou, Samuel W. Remedios, John A. Butman, Dzung L. Pham:
Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning. Medical Imaging: Image Processing 2022 - [i9]Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince:
Deep filter bank regression for super-resolution of anisotropic MR brain images. CoRR abs/2209.02611 (2022) - 2021
- [c67]Samuel W. Remedios, Shuo Han, Blake E. Dewey, Dzung L. Pham, Jerry L. Prince, Aaron Carass:
Joint Image and Label Self-super-Resolution. SASHIMI@MICCAI 2021: 14-23 - 2020
- [c65]Samuel W. Remedios, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. DART/DCL@MICCAI 2020: 170-180 - [c63]Samuel Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. Medical Imaging: Image Processing 2020: 113130F - 2019
- [c61]Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. Medical Imaging: Image Processing 2019: 109490A - [i7]Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. CoRR abs/1903.04207 (2019) - [i6]Samuel W. Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. CoRR abs/1911.05650 (2019) - 2018
- [c56]Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy:
Classifying magnetic resonance image modalities with convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2018: 105752I - [i4]Samuel Remedios, Dzung L. Pham, John A. Butman, Snehashis Roy:
Classifying magnetic resonance image modalities with convolutional neural networks. CoRR abs/1804.05764 (2018)
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last updated on 2024-04-18 22:57 CEST by the dblp team
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