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Jianming Liang

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning


Feb 21, 2021
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang

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* Journal version of arXiv:2007.06959, accepted by IEEE Transactions on Medical Imaging (TMI) 
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Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration


Jul 14, 2020
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang

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* International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020) 
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Models Genesis


Apr 09, 2020
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang

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* arXiv admin note: text overlap with arXiv:1908.06912 
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Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)


Mar 30, 2020
GermĂĄn GonzĂĄlez, Daniel Jimenez-Carretero, Sara RodrĂ­guez-LĂłpez, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile, Frank J. Rybicki, Ara Kassarjian, RaĂșl San JosĂ© EstĂ©par, Maria J. Ledesma-Carbayo

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* 8 pages, 3 figures 
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UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation


Jan 28, 2020
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

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* Journal of IEEE Transactions on Medical Imaging 
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Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization


Aug 29, 2019
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang

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Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis


Aug 19, 2019
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang

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* International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 
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Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data


Jan 25, 2019
Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding

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* Accepted in IEEE International Symposium on Biomedical Imaging (ISBI 2019) 
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UNet++: A Nested U-Net Architecture for Medical Image Segmentation


Jul 18, 2018
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

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* 8 pages, 3 figures, 3 tables, accepted by 4th Deep Learning in Medical Image Analysis (DLMIA) Workshop 
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AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts


Feb 07, 2018
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang

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* 14 pages, 11 figures, 5 tables 
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Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks


Jun 02, 2017
Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang

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* J. Y. Shin, N. Tajbakhsh, R. T. Hurst, C. B. Kendall, and J. Liang. Automating carotid intima-media thickness video interpretation with convolutional neural networks. CVPR 2016, pp 2526-2535; N. Tajbakhsh, J. Y. Shin, R. T. Hurst, C. B. Kendall, and J. Liang. Automatic interpretation of CIMT videos using convolutional neural networks. Deep Learning for Medical Image Analysis, Academic Press, 2017 
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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?


Jun 02, 2017
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang

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* IEEE Transactions on Medical Imaging. 35(5):1299-1312 (2016) 
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