Alert button
Picture for Dzung L. Pham

Dzung L. Pham

Alert button

Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?

Jan 31, 2024
Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, Junyu Chen, Yuli Wang, Jonghye Woo, Dzung L. Pham, Jiachen Zhuo, Aaron Carass, Jerry L. Prince

Viaarxiv icon

Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion

Dec 03, 2023
Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince

Viaarxiv icon

Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation

Oct 31, 2023
Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Savannah P. Hays, Dzung L. Pham, Jerry L. Prince, Aaron Carass

Viaarxiv icon

Deep filter bank regression for super-resolution of anisotropic MR brain images

Sep 06, 2022
Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince

Figure 1 for Deep filter bank regression for super-resolution of anisotropic MR brain images
Figure 2 for Deep filter bank regression for super-resolution of anisotropic MR brain images
Figure 3 for Deep filter bank regression for super-resolution of anisotropic MR brain images
Figure 4 for Deep filter bank regression for super-resolution of anisotropic MR brain images
Viaarxiv icon

Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis

Mar 04, 2021
Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy

Figure 1 for Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis
Figure 2 for Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis
Figure 3 for Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis
Figure 4 for Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis
Viaarxiv icon

Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection

Nov 13, 2019
Samuel W. Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham

Figure 1 for Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection
Figure 2 for Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection
Figure 3 for Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection
Figure 4 for Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection
Viaarxiv icon

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury

Mar 11, 2019
Samuel Remedios, Snehashis Roy, Justin Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham

Figure 1 for Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury
Figure 2 for Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury
Figure 3 for Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury
Figure 4 for Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury
Viaarxiv icon

Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification

Nov 17, 2018
Dzung L. Pham, Snehashis Roy

Viaarxiv icon

Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks

Jul 27, 2018
Snehashis Roy, John A. Butman, Dzung L. Pham

Figure 1 for Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks
Figure 2 for Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks
Figure 3 for Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks
Viaarxiv icon

TBI Contusion Segmentation from MRI using Convolutional Neural Networks

Jul 27, 2018
Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham

Figure 1 for TBI Contusion Segmentation from MRI using Convolutional Neural Networks
Figure 2 for TBI Contusion Segmentation from MRI using Convolutional Neural Networks
Figure 3 for TBI Contusion Segmentation from MRI using Convolutional Neural Networks
Figure 4 for TBI Contusion Segmentation from MRI using Convolutional Neural Networks
Viaarxiv icon