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Suryakanth R. Gurudu
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2020 – today
- 2021
- [j4]Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang:
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. Medical Image Anal. 71: 101997 (2021)
2010 – 2019
- 2018
- [i2]Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang:
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts. CoRR abs/1802.00912 (2018) - 2017
- [j3]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:
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge. IEEE Trans. Medical Imaging 36(6): 1231-1249 (2017) - [c8]Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang:
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. CVPR 2017: 4761-4772 - [c7]Zijie Yuan, Mohammadhassan Izadyyazdanabadi, Divya Mokkapati, Rujuta Panvalkar, Jae Y. Shin, Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
Automatic polyp detection in colonoscopy videos. Image Processing 2017: 101332K - [p1]Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang:
On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 181-193 - [i1]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 abs/1706.00712 (2017) - 2016
- [j2]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information. IEEE Trans. Medical Imaging 35(2): 630-644 (2016) - [j1]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): 1299-1312 (2016) - 2015
- [c6]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos. IPMI 2015: 327-338 - [c5]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. ISBI 2015: 79-83 - 2014
- [c4]Nima Tajbakhsh, Changching Chi, Suryakanth R. Gurudu, Jianming Liang:
Automatic polyp detection from learned boundaries. ISBI 2014: 97-100 - [c3]Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang:
Automatic Assessment of Image Informativeness in Colonoscopy. ABDI@MICCAI 2014: 151-158 - [c2]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns. MICCAI (2) 2014: 179-187 - 2013
- [c1]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps. Abdominal Imaging 2013: 53-62
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