Jie Luo - RankMe

55 papers Misc 2Journal 31Unranked 22

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. EMNLP (Findings) Binxu Li, Tiankai Yan, Yuanting Pan, Jie Luo, Ruiyang Ji, Jiayuan Ding, Zhe Xu, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang
2024	J	`jnl`	MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. CoRR Binxu Li, Tiankai Yan, Yuanting Pan, Zhe Xu, Jie Luo, Ruiyang Ji, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang
2024	J	`jnl`	Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data. Medical Image Anal. Zhe Xu, Donghuan Lu, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong
2024	—	`conf`	SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment. MICCAI (6) Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn
2024	J	`jnl`	Trust it or not: Confidence-guided automatic radiology report generation. Neurocomputing Yixin Wang, Zihao Lin, Zhe Xu, Haoyu Dong, Jie Luo, Jiang Tian, Zhongchao Shi, Lifu Huang, Yang Zhang, Jianping Fan, Zhiqiang He
2023	—	`conf`	Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. MICCAI (4) Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong
2023	—	`conf`	Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. MICCAI (5) Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li
2023	J	`jnl`	Radiology-Llama2: Best-in-Class Large Language Model for Radiology. CoRR 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
2023	J	`jnl`	SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning. CoRR Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn
2023	—	`conf`	Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. MICCAI (7) Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong
2022	J	`jnl`	All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022	J	`jnl`	Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022	Misc	`conf`	Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation. ICASSP Yixin Wang, Zhe Xu, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He
2022	—	`conf`	Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. MICCAI (5) Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong
2022	—	`conf`	Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. MICCAI (6) 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
2022	—	`conf`	On the Dataset Quality Control for Image Registration Evaluation. MICCAI (6) Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken
2021	J	`jnl`	All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. CoRR Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2021	J	`jnl`	Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. CoRR 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
2021	—	`conf`	Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose. MICCAI (6) Nazim Haouchine, Parikshit Juvekar, Xin Xiong, Jie Luo, Tina Kapur, Rose Du, Alexandra J. Golby, Sarah F. Frisken
2021	J	`jnl`	F3RNet: full-resolution residual registration network for deformable image registration. Int. J. Comput. Assist. Radiol. Surg. Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender
2021	J	`jnl`	GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor. CoRR Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo, William M. Wells III, Inês Machado, Rola Harmouche, Matthew Toews
2021	—	`conf`	Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. MICCAI (1) Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li
2021	J	`jnl`	Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. CoRR Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li
2021	—	`conf`	Unimodal Cyclic Regularization For Training Multimodal Image Registration Networks. ISBI Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan
2021	Misc	`conf`	Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance. ICASSP Zhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan
2020	—	`conf`	Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. MICCAI (3) Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan
2020	J	`jnl`	Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. CoRR Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan
2020	J	`jnl`	An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process. CoRR 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
2020	—	`conf`	Are Registration Uncertainty and Error Monotonically Associated? MICCAI (3) Jie Luo, Sarah F. Frisken, Duo Wang, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III
2020	J	`jnl`	Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation? CoRR 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
2020	J	`jnl`	F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration. CoRR Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender
2020	—	`conf`	Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process. Bildverarbeitung für die Medizin 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
2020	J	`jnl`	Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks. CoRR Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan
2020	J	`jnl`	Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance. CoRR Zhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan
2019	J	`jnl`	Deep Information Theoretic Registration. CoRR Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2019	J	`jnl`	Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data. NeuroImage 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
2019	—	`conf`	On the Applicability of Registration Uncertainty. MICCAI (2) 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
2019	J	`jnl`	Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery. CoRR Jie Luo, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken
2019	—	`conf`	Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty. UNSURE/CLIP@MICCAI Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III
2019	—	`conf`	Semi-supervised image registration using deep learning. Image-Guided Procedures Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2019	J	`jnl`	Temporal Registration in Application to In-utero MRI Time Series. CoRR Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Elfar Adalsteinsson, Patricia Ellen Grant, Polina Golland
2018	—	`conf`	A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 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
2018	J	`jnl`	A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR 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
2018	J	`jnl`	Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study. CoRR Guoxin Fan, Huaqing Liu, Zhenhua Wu, Yufeng Li, Chaobo Feng, Dongdong Wang, Jie Luo, Xiaofei Guan, William M. Wells III, Shisheng He
2018	—	`conf`	Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 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
2018	J	`jnl`	Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int. J. Comput. Assist. Radiol. Surg. 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
2018	J	`jnl`	On the Ambiguity of Registration Uncertainty. CoRR 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
2018	J	`jnl`	Semi-Supervised Deep Metrics for Image Registration. CoRR Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2018	—	`conf`	Synthesizing Dynamic MRI Using Long-Term Recurrent Convolutional Networks. MLMI@MICCAI Frank Preiswerk, Cheng-Chieh Cheng, Jie Luo, Bruno Madore
2018	J	`jnl`	Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 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
2017	—	`conf`	Frequency Diffeomorphisms for Efficient Image Registration. IPMI Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant, Polina Golland
2017	J	`jnl`	Misdirected Registration Uncertainty. CoRR Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama
2016	J	`jnl`	Reinterpreting the Transformation Posterior in Probabilistic Image Registration. CoRR Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, Masashi Sugiyama
2016	—	`conf`	Temporal Registration in In-Utero Volumetric MRI Time Series. MICCAI (3) Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland
2016	J	`jnl`	Temporal Registration in In-Utero Volumetric MRI Time Series. CoRR Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland