Nima Tajbakhsh

Orcid: 0000-0001-8614-4811

According to our database1, Nima Tajbakhsh authored at least 41 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs.
CoRR, 2023

MDT-Net: Multi-Domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan.
CoRR, 2022

2021
Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging.
IEEE Trans. Medical Imaging, 2021

A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.
IEEE Trans. Medical Imaging, 2020

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation.
Medical Image Anal., 2020

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE).
CoRR, 2020

Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation.
Medical Image Anal., 2019

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Reduction in training time of a deep learning model in detection of lesions in CT.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs.
Pattern Recognit., 2017

Automatic polyp detection in colonoscopy videos.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
IEEE Trans. Medical Imaging, 2016

Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information.
IEEE Trans. Medical Imaging, 2016

Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Ensuring High-Quality Colonoscopy by Reducing Polyp Miss-Rates.
PhD thesis, 2015

Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Automatic Assessment of Image Informativeness in Colonoscopy.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014

Automatic polyp detection from learned boundaries.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
A novel online boosting algorithm for automatic anatomy detection.
Mach. Vis. Appl., 2013

A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

2012
Self-adaptive asymmetric on-line boosting for detecting anatomical structures.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011
Automated Detection of Major Thoracic Structures with a Novel Online Learning Method.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2010
Robust Iris Verification Based on Local and Global Variations.
EURASIP J. Adv. Signal Process., 2010

2009
Noisy Iris Verification: A Modified Version of Local Intensity Variation Method.
Proceedings of the Advances in Biometrics, Third International Conference, 2009

A Region-Based Iris Feature Extraction Method Based on 2D-Wavelet Transform.
Proceedings of the Biometric ID Management and Multimodal Communication, 2009

2008
An intelligent decision combiner applied to noncooperative iris recognition.
Proceedings of the 11th International Conference on Information Fusion, 2008

Feature fusion as a practical solution toward noncooperative iris recognition.
Proceedings of the 11th International Conference on Information Fusion, 2008


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