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Jiancong Wang
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2020 – today
- 2023
- [j6]Kangshun Li, Jiancong Wang
, Hassan Jalil
, Hui Wang:
A fast and lightweight detection algorithm for passion fruit pests based on improved YOLOv5. Comput. Electron. Agric. 204: 107534 (2023) - [j5]Long Xie
, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Pulkit Khandelwal, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich:
Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation. Medical Image Anal. 83: 102683 (2023) - [i10]Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich:
Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI. CoRR abs/2304.04673 (2023) - 2022
- [c17]Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, M. Ani Hsieh, James C. Gee:
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration. CVPR 2022: 20772-20781 - [c16]Lingzhi Zhang, Weiyu Du, Shenghao Zhou, Jiancong Wang, Jianbo Shi:
Inpaint2Learn: A Self-Supervised Framework for Affordance Learning. WACV 2022: 3778-3787 - 2021
- [j4]Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores
, David A. Wolk, Paul A. Yushkevich:
DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease. NeuroImage 243: 118514 (2021) - [c15]Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn
, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich:
Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline. IPMI 2021: 428-439 - [c14]Jiancong Wang, Kangshun Li:
Deep Learning Based Method for Identifying Passion Fruit Pests. ISICA 2021: 221-229 - [i9]Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich:
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline. CoRR abs/2103.10892 (2021) - [i8]Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, James C. Gee, M. Ani Hsieh:
Deformable Image Registration using Neural ODEs. CoRR abs/2108.03443 (2021) - 2020
- [c13]Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi:
Nested Scale-Editing for Conditional Image Synthesis. CVPR 2020: 5476-5486 - [c12]Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, Jianbo Shi:
Learning Object Placement by Inpainting for Compositional Data Augmentation. ECCV (13) 2020: 566-581 - [c11]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:
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe. ISBI 2020: 1312-1316 - [c10]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:
Automated Meshing of Anatomical Shapes for Deformable Medial Modeling: Application to the Placenta in 3D Ultrasound. ISBI 2020: 1842-1846 - [c9]Yifan Wu, Jiancong Wang, William Lindsay, Tarmily Wen, Jianbo Shi, James C. Gee:
Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT. MICCAI (6) 2020: 560-569 - [c8]Lingzhi Zhang, Jiancong Wang, Jianbo Shi:
Multimodal Image Outpainting with Regularized Normalized Diversification. WACV 2020: 3422-3431 - [c7]Jiancong Wang, Yuhua Chen, Yifan Wu, Jianbo Shi, James C. Gee:
Enhanced generative adversarial network for 3D brain MRI super-resolution. WACV 2020: 3616-3625 - [i7]Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi:
Nested Scale Editing for Conditional Image Synthesis. CoRR abs/2006.02038 (2020) - [i6]Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin DeFlores, David A. Wolk, Paul A. Yushkevich:
DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease. CoRR abs/2010.12948 (2020)
2010 – 2019
- 2019
- [j3]Jeffrey D. Rudie
, David A. Weiss, Rachit Saluja, Andreas M. Rauschecker, Jiancong Wang, Leo Sugrue, Spyridon Bakas, John B. Colby:
Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. Frontiers Comput. Neurosci. 13: 84 (2019) - [j2]Yumeng Guo, Fulai Chung, Guozheng Li, Jiancong Wang, James C. Gee:
Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning. ACM Trans. Knowl. Discov. Data 13(2): 24:1-24:23 (2019) - [c6]Paul A. Yushkevich, Ahmed H. Aly, Jiancong Wang, Long Xie, Robert C. Gorman, Laurent Younes
, Alison M. Pouch:
Diffeomorphic Medial Modeling. IPMI 2019: 208-220 - [c5]Long Xie, Jiancong Wang, Mengjin Dong, David A. Wolk, Paul A. Yushkevich:
Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation. MICCAI (3) 2019: 347-355 - [i5]Paul A. Yushkevich, Ahmed H. Aly, Jiancong Wang, Long Xie, Robert C. Gorman, Alison M. Pouch, Laurent Younes:
Diffeomorphic Medial Modeling. CoRR abs/1902.02371 (2019) - [i4]Jiancong Wang, Long Xie, Paul A. Yushkevich, James C. Gee:
Barnes-Hut Approximation for Point SetGeodesic Shooting. CoRR abs/1907.04834 (2019) - [i3]Jiancong Wang, Yuhua Chen, Yifan Wu, Jianbo Shi, James C. Gee:
Enhanced generative adversarial network for 3D brain MRI super-resolution. CoRR abs/1907.04835 (2019) - [i2]Jiancong Wang:
Fast geodesic shooting for landmark matching using CUDA. CoRR abs/1907.04839 (2019) - [i1]Lingzhi Zhang, Jiancong Wang, Jianbo Shi:
Multimodal Image Outpainting With Regularized Normalized Diversification. CoRR abs/1910.11481 (2019) - 2018
- [j1]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
:
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 115(16): 4252-4257 (2018) - [c4]Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Ranjit Ittyerah, Jiancong Wang, David A. Wolk, Paul A. Yushkevich
:
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 2018: 28-37 - [c3]Baris U. Oguz, Jiancong Wang, Natalie Yushkevich, Alison M. Pouch, James C. Gee, Paul A. Yushkevich
, Nadav Schwartz, Ipek Oguz:
Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS. DATRA/PIPPI@MICCAI 2018: 138-148 - [c2]William Lindsay, Jiancong Wang, Nicholas Sachs, Eduardo Barbosa, James C. Gee:
Transfer Learning Approach to Predict Biopsy-Confirmed Malignancy of Lung Nodules from Imaging Data: A Pilot Study. RAMBO+BIA+TIA@MICCAI 2018: 295-301 - 2017
- [c1]Min Chen, Jiancong Wang, Ipek Oguz, Brian L. Vanderbeek, James C. Gee:
Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks. FIFI/OMIA@MICCAI 2017: 177-184
Coauthor Index
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