A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (Abdominal Imaging, 2013)

Automatic polyp detection from learned boundaries. - Nima Tajbakhsh; Changching Chi; Suryakanth R. Gurudu; Jianming Liang (ISBI, 2014)

Automatic Assessment of Image Informativeness in Colonoscopy. - Nima Tajbakhsh; Changching Chi; Haripriya Sharma; Qing Wu; Suryakanth R. Gurudu; Jianming Liang (ABDI@MICCAI, 2014)

Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (MICCAI (2), 2014)

A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (IPMI, 2015)

Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (ISBI, 2015)

Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (IEEE Trans. Medical Imaging, 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)

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 (CVPR, 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 (Image Processing, 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 011; Lequan Yu; Quentin Angermann; Olivier Romain; Bjorn Rustad; Ilangko Balasingham; Konstantin Pogorelov; Sungbin Choi; et al. (IEEE Trans. Medical Imaging, 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 (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

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)

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)