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Nima Tajbakhsh
Nima Tajbakhsh
Nvidia Inc.
Verified email at asu.edu
Title
Cited by
Cited by
Year
Unet++: A nested u-net architecture for medical image segmentation
Z Zhou, MM Rahman Siddiquee, N Tajbakhsh, J Liang
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
56962018
Convolutional neural networks for medical image analysis: Full training or fine tuning?
N Tajbakhsh, JY Shin, SR Gurudu, RT Hurst, CB Kendall, MB Gotway, ...
IEEE transactions on medical imaging 35 (5), 1299-1312, 2016
30722016
Unet++: Redesigning skip connections to exploit multiscale features in image segmentation
Z Zhou, MMR Siddiquee, N Tajbakhsh, J Liang
IEEE transactions on medical imaging 39 (6), 1856-1867, 2019
22052019
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
N Tajbakhsh, L Jeyaseelan, Q Li, JN Chiang, Z Wu, X Ding
Medical Image Analysis 63, 101693, 2020
7142020
Automated polyp detection in colonoscopy videos using shape and context information
N Tajbakhsh, SR Gurudu, J Liang
IEEE transactions on medical imaging 35 (2), 630-644, 2015
6532015
Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge
J Bernal, N Tajkbaksh, FJ Sanchez, BJ Matuszewski, H Chen, L Yu, ...
IEEE transactions on medical imaging 36 (6), 1231-1249, 2017
3742017
Models genesis: Generic autodidactic models for 3d medical image analysis
Z Zhou, V Sodha, MM Rahman Siddiquee, R Feng, N Tajbakhsh, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
2992019
Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs
N Tajbakhsh, K Suzuki
Pattern recognition 63, 476-486, 2017
2032017
Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks
N Tajbakhsh, SR Gurudu, J Liang
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 79-83, 2015
1612015
Computer-aided pulmonary embolism detection using a novel vessel-aligned multi-planar image representation and convolutional neural networks
N Tajbakhsh, MB Gotway, J Liang
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
1452015
A nested U-Net architecture for medical image segmentation (2018)
Z Zhou, MMR Siddiquee, N Tajbakhsh, JUN Liang
arXiv preprint arXiv:1807.10165, 0
144
Learning fixed points in generative adversarial networks: From image-to-image translation to disease detection and localization
MMR Siddiquee, Z Zhou, N Tajbakhsh, R Feng, MB Gotway, Y Bengio, ...
Proceedings of the IEEE/CVF international conference on computer vision, 191-200, 2019
952019
Surrogate supervision for medical image analysis: Effective deep learning from limited quantities of labeled data
N Tajbakhsh, Y Hu, J Cao, X Yan, Y Xiao, Y Lu, J Liang, D Terzopoulos, ...
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019
862019
A comprehensive computer-aided polyp detection system for colonoscopy videos
N Tajbakhsh, SR Gurudu, J Liang
Information Processing in Medical Imaging: 24th International Conference …, 2015
792015
Automating carotid intima-media thickness video interpretation with convolutional neural networks
J Shin, N Tajbakhsh, RT Hurst, CB Kendall, J Liang
Proceedings of the IEEE conference on computer vision and pattern …, 2016
702016
Automatic polyp detection using global geometric constraints and local intensity variation patterns
N Tajbakhsh, SR Gurudu, J Liang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
612014
A classification-enhanced vote accumulation scheme for detecting colonic polyps
N Tajbakhsh, SR Gurudu, J Liang
Abdominal Imaging. Computation and Clinical Applications: 5th International …, 2013
442013
Automatic segmentation of pulmonary lobes using a progressive dense V-network
AAZ Imran, A Hatamizadeh, SP Ananth, X Ding, D Terzopoulos, ...
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
432018
A location-sensitive local prototype network for few-shot medical image segmentation
Q Yu, K Dang, N Tajbakhsh, D Terzopoulos, X Ding
2021 IEEE 18th international symposium on biomedical imaging (ISBI), 262-266, 2021
412021
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation
N Tajbakhsh, JY Shin, MB Gotway, J Liang
Medical image analysis 58, 101541, 2019
412019
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