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A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation

Mar 18, 2021
Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding

* ISBI2021 accepted 

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Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts

Apr 15, 2020
Gaurav Fotedar, Nima Tajbakhsh, Shilpa Ananth, Xiaowei Ding

* submitted for peer-review on March 17 

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Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)

Mar 30, 2020
Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, 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, Raúl San José Estépar, Maria J. Ledesma-Carbayo

* 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

* Journal of IEEE Transactions on Medical Imaging 

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ErrorNet: Learning error representations from limited data to improve vascular segmentation

Oct 21, 2019
Nima Tajbakhsh, Brian Lai, Shilpa Ananth, Xiaowei Ding

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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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Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation

Aug 27, 2019
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey Chiang, Zhihao Wu, Xiaowei Ding

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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

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

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Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network

Feb 18, 2019
Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh

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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

* 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

* 8 pages, 3 figures, 3 tables, accepted by 4th Deep Learning in Medical Image Analysis (DLMIA) Workshop 

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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

* 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

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

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