Jie Luo

According to our database, Jie Luo authored at least 46 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data.

Zhe Xu, Donghuan Lu, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong

Medical Image Anal., 2024

Trust it or not: Confidence-guided automatic radiology report generation.

Yixin Wang, Zihao Lin, Zhe Xu, Haoyu Dong, Jie Luo, Jiang Tian, Zhongchao Shi, Lifu Huang, Yang Zhang, Jianping Fan, Zhiqiang He

Neurocomputing, 2024

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment.

Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.

Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li

CoRR, 2023

SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning.

Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn

CoRR, 2023

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels.

Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data.

Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning.

Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation.

Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong

IEEE Trans. Medical Imaging, 2022

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.

Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong

IEEE J. Biomed. Health Informatics, 2022

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data.

Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.

Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah F. Frisken, Jayender Jagadeesan, William M. Wells III, Xiu Li, Yefeng Zheng, Raymond Kai-Yu Tong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

On the Dataset Quality Control for Image Registration Evaluation.

Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation.

Yixin Wang, Zhe Xu, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor.

Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo, William M. Wells III, Inês Machado, Rola Harmouche, Matthew Toews

CoRR, 2021

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration.

Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William M. Wells III, Sarah F. Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong

CoRR, 2021

F3RNet: full-resolution residual registration network for deformable image registration.

Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender

Int. J. Comput. Assist. Radiol. Surg., 2021

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.

Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose.

Nazim Haouchine, Parikshit Juvekar, Xin Xiong, Jie Luo, Tina Kapur, Rose Du, Alexandra J. Golby, Sarah F. Frisken

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unimodal Cyclic Regularization For Training Multimodal Image Registration Networks.

Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance.

Zhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration.

Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender

CoRR, 2020

Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation?

Jie Luo, Guangshen Ma, Sarah F. Frisken, Parikshit Juvekar, Nazim Haouchine, Zhe Xu, Yiming Xiao, Alexandra J. Golby, Patrick J. Codd, Masashi Sugiyama, William M. Wells III

CoRR, 2020

An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process.

Siming Bayer, Ute Spiske, Jie Luo, Tobias Geimer, William M. Wells III, Martin Ostermeier, Rebecca Fahrig, Arya Nabavi, Christoph Bert, Ilker Eyüpoglo, Andreas K. Maier

CoRR, 2020

Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration.

Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Are Registration Uncertainty and Error Monotonically Associated?

Jie Luo, Sarah F. Frisken, Duo Wang, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process.

Siming Bayer, Ute Spiske, Jie Luo, Tobias Geimer, William M. Wells III, Martin Ostermeier, Rebecca Fahrig, Arya Nabavi, Christoph Bert, Ilker Eyüpoglo, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data.

Inês Machado, Matthew Toews, Elizabeth George, Prashin Unadkat, Walid Essayed, Jie Luo, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou

NeuroImage, 2019

Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery.

Jie Luo, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken

CoRR, 2019

Temporal Registration in Application to In-utero MRI Time Series.

Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Elfar Adalsteinsson, Patricia Ellen Grant, Polina Golland

CoRR, 2019

Deep Information Theoretic Registration.

Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III

CoRR, 2019

Semi-supervised image registration using deep learning.

Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty.

Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

On the Applicability of Registration Uncertainty.

Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study.

Guoxin Fan, Huaqing Liu, Zhenhua Wu, Yufeng Li, Chaobo Feng, Dongdong Wang, Jie Luo, Xiaofei Guan, William M. Wells III, Shisheng He

CoRR, 2018

Semi-Supervised Deep Metrics for Image Registration.

Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III

CoRR, 2018

On the Ambiguity of Registration Uncertainty.

Jie Luo, Sarah F. Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matthew Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

CoRR, 2018

Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching.

Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III

Int. J. Comput. Assist. Radiol. Surg., 2018

Using the variogram for vector outlier screening: application to feature-based image registration.

Jie Luo, Sarah F. Frisken, Inês Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat, Alireza Sedghi, Haoyin Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chieh Cheng, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

Int. J. Comput. Assist. Radiol. Surg., 2018

Synthesizing Dynamic MRI Using Long-Term Recurrent Convolutional Networks.

Frank Preiswerk, Cheng-Chieh Cheng, Jie Luo, Bruno Madore

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery.

Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou

Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation.

Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Misdirected Registration Uncertainty.

Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama

CoRR, 2017

Frequency Diffeomorphisms for Efficient Image Registration.

Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Reinterpreting the Transformation Posterior in Probabilistic Image Registration.

Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, Masashi Sugiyama

CoRR, 2016

Temporal Registration in In-Utero Volumetric MRI Time Series.

Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016