Nima Tajbakhsh

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 38

Top Venues

CoRR

ISBI

IEEE Trans. Medical Imaging

DLMIA/ML-CDS@MICCAI

Arizona State University, Tempe, USA (PHD)

Education History

Arizona State University, Tempe, USA

PHD

Publications

Shengzhi Li, Nima Tajbakhsh
SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs. CoRR (2023)
Weinan Song, Gaurav Fotedar, Nima Tajbakhsh, Ziheng Zhou, Lei He, Xiaowei Ding
MDT-Net: Multi-Domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan. ISBI (2023)
Weinan Song, Gaurav Fotedar, Nima Tajbakhsh, Ziheng Zhou, Xiaowei Ding
MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan. CoRR (2022)
Nima Tajbakhsh, Holger Roth, Demetri Terzopoulos, Jianming Liang
Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. IEEE Trans. Medical Imaging 40 (10) (2021)
Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding
A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation. ISBI (2021)
Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation. CoRR (2021)
Gaurav Fotedar, Nima Tajbakhsh, Shilpa P. Ananth, Xiaowei Ding
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts. CoRR (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 Tarzjan, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile Moreno, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, María J. Ledesma-Carbayo
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). CoRR (2020)
Gaurav Fotedar, Nima Tajbakhsh, Shilpa P. Ananth, Xiaowei Ding
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts. MICCAI (1) (2020)
Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding
ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation. ISBI (2020)
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey N. Chiang, Zhihao Wu, Xiaowei Ding
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation. Medical Image Anal. 63 (2020)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. IEEE Trans. Medical Imaging 39 (6) (2020)
Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Nima Tajbakhsh, Demetri Terzopoulos
Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8 (5) (2020)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. CoRR (2019)
Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. CoRR (2019)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. CoRR (2019)
Nima Tajbakhsh, Jae Y. Shin, Michael B. Gotway, Jianming Liang
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation. Medical Image Anal. 58 (2019)
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey N. Chiang, Zhihao Wu, Xiaowei Ding
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation. CoRR (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. CoRR (2019)
Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. ISBI (2019)
Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. CoRR (2019)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. ICCV (2019)
Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding
ErrorNet: Learning error representations from limited data to improve vascular segmentation. CoRR (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. MICCAI (4) (2019)
Nazanin Makkinejad, Nima Tajbakhsh, Amin Zarshenas, Ashfaq A. Khokhar, Kenji Suzuki
Reduction in training time of a deep learning model in detection of lesions in CT. Medical Imaging: Computer-Aided Diagnosis (2018)
Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. DLMIA/ML-CDS@MICCAI (2018)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. CoRR (2018)
Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. CoRR (2017)
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? CoRR (2017)
Nima Tajbakhsh, Kenji Suzuki
Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs. Pattern Recognit. 63 (2017)
Zijie Yuan, Mohammadhassan Izadyyazdanabadi, Divya Mokkapati, Rujuta Panvalkar, Jae Y. Shin, Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
Automatic polyp detection in colonoscopy videos. Medical Imaging: Image Processing (2017)
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? IEEE Trans. Medical Imaging 35 (5) (2016)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information. IEEE Trans. Medical Imaging 35 (2) (2016)
Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. CVPR (2016)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos. IPMI (2015)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. ISBI (2015)
Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks. MICCAI (2) (2015)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns. MICCAI (2) (2014)
Nima Tajbakhsh, Changching Chi, Suryakanth R. Gurudu, Jianming Liang
Automatic polyp detection from learned boundaries. ISBI (2014)
Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang
Automatic Assessment of Image Informativeness in Colonoscopy. ABDI@MICCAI (2014)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps. Abdominal Imaging (2013)
Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Michael B. Gotway, Jianming Liang
A novel online boosting algorithm for automatic anatomy detection. Mach. Vis. Appl. 24 (7) (2013)
Hong Wu, Nima Tajbakhsh, Wenzhe Xue, Jianming Liang
Self-adaptive asymmetric on-line boosting for detecting anatomical structures. Medical Imaging: Computer-Aided Diagnosis (2012)
Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Jianming Liang
Automated Detection of Major Thoracic Structures with a Novel Online Learning Method. MLMI (2011)
Nima Tajbakhsh, Babak Nadjar Araabi, Hamid Soltanian-Zadeh
Robust Iris Verification Based on Local and Global Variations. EURASIP J. Adv. Signal Process. 2010 (2010)
Nima Tajbakhsh, Babak Nadjar Araabi, Hamid Soltanian-Zadeh
Noisy Iris Verification: A Modified Version of Local Intensity Variation Method. ICB (2009)
Nima Tajbakhsh, Khashayar Misaghian, Naghmeh Mohammadi Bandari
A Region-Based Iris Feature Extraction Method Based on 2D-Wavelet Transform. COST 2101/2102 Conference (2009)
Nima Tajbakhsh, Babak Nadjar Araabi, Hamid Soltanian-Zadeh
Feature fusion as a practical solution toward noncooperative iris recognition. FUSION (2008)
Nima Tajbakhsh, Babak Nadjar Araabi, Hamid Soltanian-Zadeh
An intelligent decision combiner applied to noncooperative iris recognition. FUSION (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nima Tajbakhsh