Jiancong Wang - RankMe

33 papers A* 2A 3Journal 16Unranked 12

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A fast and lightweight detection algorithm for passion fruit pests based on improved YOLOv5. Comput. Electron. Agric. Kangshun Li, Jiancong Wang, Hassan Jalil, Hui Wang
2023	J	`jnl`	Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation. Medical Image Anal. Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Pulkit Khandelwal, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich
2023	J	`jnl`	Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI. CoRR Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich
2022	A	`conf`	Inpaint2Learn: A Self-Supervised Framework for Affordance Learning. WACV Lingzhi Zhang, Weiyu Du, Shenghao Zhou, Jiancong Wang, Jianbo Shi
2022	A*	`conf`	NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration. CVPR Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, M. Ani Hsieh, James C. Gee
2021	—	`conf`	Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline. IPMI Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich
2021	J	`jnl`	Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline. CoRR Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich
2021	—	`conf`	Deep Learning Based Method for Identifying Passion Fruit Pests. ISICA Jiancong Wang, Kangshun Li
2021	J	`jnl`	DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease. NeuroImage Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich
2021	J	`jnl`	Deformable Image Registration using Neural ODEs. CoRR Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, James C. Gee, M. Ani Hsieh
2020	—	`conf`	3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe. ISBI Paul A. Yushkevich, Maria Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Jiancong Wang, Alex Ling Yu Hung, Nicolas Vergnet, Sadhana Ravikumar, Long Xie, Mengjin Dong, Robin DeFlores, Salena Cui, Lauren McCollum, Daniel T. Ohm, John L. Robinson, Theresa Schuck, Murray Grossman, M. Dylan Tisdall, Karthik Prabhakaran, Gabor Mizsei, Sandhitsu R. Das, Emilio Artacho-Pérula, María del Mar Arroyo Jiménez, Mónica Muñoz López, Maria del Pilar Marcos Rabal, Francisco Javier Molina Romero, Edward B. Lee, John Q. Trojanowski, Laura E. M. Wisse, David A. Wolk, David J. Irwin, Ricardo Insausti
2020	—	`conf`	Automated Meshing of Anatomical Shapes for Deformable Medial Modeling: Application to the Placenta in 3D Ultrasound. ISBI Alison M. Pouch, Paul A. Yushkevich, Abdullah H. Aly, Alexander H. F. Woltersom, Edidiong Okon, Ahmed H. Aly, Natalie Yushkevich, Shobhana Parameshwaran, Jiancong Wang, Baris U. Oguz, James C. Gee, Ipek Oguz, Nadav Schwartz
2020	J	`jnl`	DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease. CoRR Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich
2020	A	`conf`	Enhanced generative adversarial network for 3D brain MRI super-resolution. WACV Jiancong Wang, Yuhua Chen, Yifan Wu, Jianbo Shi, James C. Gee
2020	—	`conf`	Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT. MICCAI (6) Yifan Wu, Jiancong Wang, William Lindsay, Tarmily Wen, Jianbo Shi, James C. Gee
2020	—	`conf`	Learning Object Placement by Inpainting for Compositional Data Augmentation. ECCV (13) Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, Jianbo Shi
2020	A	`conf`	Multimodal Image Outpainting with Regularized Normalized Diversification. WACV Lingzhi Zhang, Jiancong Wang, Jianbo Shi
2020	J	`jnl`	Nested Scale Editing for Conditional Image Synthesis. CoRR Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi
2020	A*	`conf`	Nested Scale-Editing for Conditional Image Synthesis. CVPR Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi
2019	J	`jnl`	Barnes-Hut Approximation for Point SetGeodesic Shooting. CoRR Jiancong Wang, Long Xie, Paul A. Yushkevich, James C. Gee
2019	—	`conf`	Diffeomorphic Medial Modeling. IPMI Paul A. Yushkevich, Ahmed H. Aly, Jiancong Wang, Long Xie, Robert C. Gorman, Laurent Younes, Alison M. Pouch
2019	J	`jnl`	Diffeomorphic Medial Modeling. CoRR Paul A. Yushkevich, Ahmed H. Aly, Jiancong Wang, Long Xie, Robert C. Gorman, Alison M. Pouch, Laurent Younes
2019	J	`jnl`	Enhanced generative adversarial network for 3D brain MRI super-resolution. CoRR Jiancong Wang, Yuhua Chen, Yifan Wu, Jianbo Shi, James C. Gee
2019	J	`jnl`	Fast geodesic shooting for landmark matching using CUDA. CoRR Jiancong Wang
2019	—	`conf`	Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation. MICCAI (3) Long Xie, Jiancong Wang, Mengjin Dong, David A. Wolk, Paul A. Yushkevich
2019	J	`jnl`	Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning. ACM Trans. Knowl. Discov. Data Yumeng Guo, Fulai Chung, Guozheng Li, Jiancong Wang, James C. Gee
2019	J	`jnl`	Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. Frontiers Comput. Neurosci. Jeffrey D. Rudie, David A. Weiss, Rachit Saluja, Andreas M. Rauschecker, Jiancong Wang, Leo Sugrue, Spyridon Bakas, John B. Colby
2019	J	`jnl`	Multimodal Image Outpainting With Regularized Normalized Diversification. CoRR Lingzhi Zhang, Jiancong Wang, Jianbo Shi
2018	—	`conf`	Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting. ShapeMI@MICCAI Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Ranjit Ittyerah, Jiancong Wang, David A. Wolk, Paul A. Yushkevich
2018	J	`jnl`	Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology. Proc. Natl. Acad. Sci. USA Daniel H. Adler, Laura E. M. Wisse, Ranjit Ittyerah, John Pluta, Song-Lin Ding, Long Xie, Jiancong Wang, Salmon Kadivar, John L. Robinson, Theresa Schuck, John Q. Trojanowski, Murray Grossman, John A. Detre, Mark A. Elliott, Jon B. Toledo, Weixia Liu, Stephen Pickup, Michael I. Miller, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich
2018	—	`conf`	Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS. DATRA/PIPPI@MICCAI Baris U. Oguz, Jiancong Wang, Natalie Yushkevich, Alison M. Pouch, James C. Gee, Paul A. Yushkevich, Nadav Schwartz, Ipek Oguz
2018	—	`conf`	Transfer Learning Approach to Predict Biopsy-Confirmed Malignancy of Lung Nodules from Imaging Data: A Pilot Study. RAMBO+BIA+TIA@MICCAI William Lindsay, Jiancong Wang, Nicholas Sachs, Eduardo Barbosa, James C. Gee
2017	—	`conf`	Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks. FIFI/OMIA@MICCAI Min Chen, Jiancong Wang, Ipek Oguz, Brian L. Vanderbeek, James C. Gee