Suryakanth R. Gurudu

According to our database, Suryakanth R. Gurudu authored at least 14 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Active, continual fine tuning of convolutional neural networks for reducing annotation efforts.

Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang

Medical Image Anal., 2021

2018

AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts.

Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang

CoRR, 2018

2017

On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging.

Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge.

Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sánchez, Bogdan J. Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjorn Rustad, Ilangko Balasingham, Konstantin Pogorelov, Sungbin Choi, Quentin Debard, Lena Maier-Hein, Stefanie Speidel, Danail Stoyanov, Patrick Brandao, Henry Córdova, Cristina Sánchez-Montes, Suryakanth R. Gurudu, Gloria Fernández-Esparrach, Xavier Dray, Jianming Liang, Aymeric Histace

IEEE Trans. Medical Imaging, 2017

Automatic polyp detection in colonoscopy videos.

Zijie Yuan, Mohammadhassan Izadyyazdanabadi, Divya Mokkapati, Rujuta Panvalkar, Jae Y. Shin, Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang

Proceedings of the Medical Imaging 2017: Image Processing, 2017

Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally.

Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang

IEEE Trans. Medical Imaging, 2016

Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information.

Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang

IEEE Trans. Medical Imaging, 2016

2015

Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks.

Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos.

Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang

Proceedings of the Information Processing in Medical Imaging, 2015

2014

Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns.

Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Automatic Assessment of Image Informativeness in Colonoscopy.

Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang

Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014

Automatic polyp detection from learned boundaries.

Nima Tajbakhsh, Changching Chi, Suryakanth R. Gurudu, Jianming Liang

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps.

Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang

Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013