| 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 | 6151 | 2018 |
| 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 | 3164 | 2016 |
| 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 | 2379 | 2019 |
| 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 | 741 | 2020 |
| 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 | 693 | 2015 |
| 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 | 383 | 2017 |
| 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 | 303 | 2019 |
| 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 | 209 | 2017 |
| 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 | 166 | 2015 |
| 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 | 156 | 2015 |
| 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 | 100 | 2019 |
| 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 | 88 | 2019 |
| 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 | 81 | 2015 |
| 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 | 72 | 2016 |
| 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 | 62 | 2014 |
| 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 | 47 | 2019 |
| 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 | 46 | 2013 |
| 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 | 43 | 2021 |
| 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 | 42 | 2018 |
| System and method for automatic pulmonary embolism detection J Liang, N Tajbakhsh US Patent 9,959,615, 2018 | 41 | 2018 |
