Shuo Han

发表

THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF THESIS APPROVAL

J. Allebach, F. Zhu, Enyu Cai, 2017 .

Realistic analytical polyhedral MRI phantoms

Min Chen, Shuo Han, Benjamin M W Tsui, 2016, Magnetic resonance in medicine.

Disentangling A Single MR Modality

Jerry L Prince, S. Resnick, A. Carass, 2022, DALI@MICCAI.

Multiple Sclerosis brain lesion segmentation with different architecture ensembles

Jerry L Prince, Jacob C. Reinhold, Samuel W. Remedios, 2022, Medical Imaging.

Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization

Aaron Carass, Jerry L. Prince, Yufan He, 2020, NeuroImage.

DINAVID: A Distributed and Networked Image Analysis System for Volumetric Image Data

E. Delp, P. Salama, Alain Chen, 2022, bioRxiv.

Coordinate Translator for Learning Deformable Medical Image Registration

Jerry L Prince, A. Carass, Shuo Han, 2022, MMMI@MICCAI.

Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging

Jerry L Prince, Junghoon Lee, S. Resnick, 2022, Medical Imaging.

Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data

Jerry L Prince, A. Carass, S. Saidha, 2022, IEEE Transactions on Medical Imaging.

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

Benjamin Thyreau, D. Louis Collins, Aaron Carass, 2018, NeuroImage.

THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF DISSERTATION APPROVAL

A. Reibman, Fengqing M Zhu, Enyu Cai, 2017 .

DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data

David Joon Ho, Paul Salama, Kenneth W. Dunn, 2019, Scientific Reports.

Longitudinal analysis of regional cerebellum volumes during normal aging

Aaron Carass, Jerry L. Prince, Susan M. Resnick, 2020, NeuroImage.

CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation

Andreas Nürnberger, Oliver Speck, Pierre-Henri Conze, 2020, Medical Image Anal..

Synchrotron microtomography image restoration via regularization representation and deep CNN prior

Shuo Han, D. Ji, Jianbo Jian, 2022, Comput. Methods Programs Biomed..

Three-dimensional visualization of microvasculature from few-projection data using a novel CT reconstruction algorithm for propagation-based X-ray phase-contrast imaging.

Shuo Han, Wenjuan Lv, Yuqing Zhao, 2020, Biomedical optics express.

Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation

Jerry L Prince, R. Gullapalli, A. Carass, 2023, Medical Imaging.

Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly

Aaron Carass, Jerry L. Prince, Shuo Han, 2019, NeuroImage: Clinical.

Three Dimensional Nuclei Segmentation and Classification of Fluorescence Microscopy Images

Paul Salama, Edward J. Delp, Soonam Lee, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation

Edward J. Delp, David Joon Ho, Paul Salama, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Fluorescence Microscopy Image Segmentation Using Convolutional Neural Network With Generative Adversarial Networks pdf

Edward J. Delp, David Joon Ho, Paul Salama, 2018, ArXiv.

Nuclei segmentation of fluorescence microscopy images using convolutional neural networks

Edward J. Delp, David Joon Ho, Paul Salama, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee

Jerry L Prince, J. Duncan, S. Resnick, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Dual-path deep learning reconstruction framework for propagation-based X-ray phase-contrast computed tomography with sparse-view projections.

Shuo Han, D. Ji, Xinyan Zhao, 2021, Optics letters.

Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks

Xiang Li, Aaron Carass, Jerry L. Prince, 2018, MLCN/DLF/iMIMIC@MICCAI.

Three Dimensional Synthetic Non-Ellipsoidal Nuclei Volume Generation Using Bézier Curves

E. Delp, P. Salama, Alain Chen, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Variational Automatic Channel Pruning Algorithm Based on Structure Optimization for Convolutional Neural Networks 339 Variational Automatic Channel Pruning Algorithm Based on Structure Optimization for Convolutional Neural Networks

Xingang Liu, Shuo Han, Yufei Zhan, 2021 .

RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images

Edward J. Delp, Shuo Han, Paul Salama, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images

E. Delp, P. Salama, Shuo Han, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Three Dimensional Blind Image Deconvolution for Fluorescence Microscopy using Generative Adversarial Networks

Edward J. Delp, Paul Salama, Kenneth W. Dunn, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF DISSERTATION APPROVAL

A. Reibman, B. Ulrich, M. Saito, 2019 .

Nuclei counting in microscopy images with three dimensional generative adversarial networks

Edward J. Delp, Paul Salama, Kenneth W. Dunn, 2019, Medical Imaging: Image Processing.

3D Medical Image Segmentation based on multi-scale MPU-Net

Shuo Han, Zeqiu Yu, Ziheng Song, 2023, ArXiv.