Automatic selection of landmarks in T1-weighted head MRI with regression forests for image registration initialization. - Jianing Wang 004; Yuan Liu 019; Jack H. Noble; Benoit M. Dawant (Image Processing, 2017)

Segmentation of skin lesions in chronic graft versus host disease photographs with fully convolutional networks. - Jianing Wang 004; Fuyao Chen; Laura E. Dellalana; Madan H. Jagasia; Eric R. Tkaczyk; Benoit M. Dawant (Computer-Aided Diagnosis, 2018)

Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear. - Jianing Wang 004; Yiyuan Zhao; Jack H. Noble; Benoit M. Dawant (MICCAI (1), 2018)

Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint. - Dongqing Zhang; Jianing Wang 004; Jack H. Noble; Benoit M. Dawant (MICCAI (4), 2018)

A Deep-Learning-Based Method for the Localization of Cochlear Implant Electrodes in CT Images. - Yujie Chi; Jianing Wang 004; Yiyuan Zhao; Jack H. Noble; Benoit M. Dawant (ISBI, 2019)

Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data. - Dongqing Zhang; Rueben A. Banalagay; Jianing Wang 004; Yiyuan Zhao; Jack H. Noble; Benoit M. Dawant (Image Processing, 2019)

Validation of image-guided cochlear implant programming techniques. - Yiyuan Zhao; Jianing Wang 004; Rui Li 012; Robert F. Labadie; Benoit M. Dawant; Jack H. Noble (CoRR, 2019)

Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs. - Jianing Wang 004; Jack H. Noble; Benoit M. Dawant (Medical Image Anal., 2019)

Metal Artifact Reduction and Intra Cochlear Anatomy Segmentation Inct Images of the Ear With A Multi-Resolution Multi-Task 3D Network. - Jianing Wang 004; Jack H. Noble; Benoit M. Dawant (ISBI, 2020)

Validation of a metal artifact reduction method based on 3D conditional GANs for CT images of the ear. - Jianing Wang 004; Srijata Chakravorti; Yiyuan Zhao; Jack H. Noble; Benoit M. Dawant (Image-Guided Procedures, 2020)

Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT images. - Yubo Fan; Dongqing Zhang; Jianing Wang 004; Jack H. Noble; Benoit M. Dawant (Image Processing, 2020)

HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs. - Dongqing Zhang; Jianing Wang 004; Jack H. Noble; Benoit M. Dawant (Medical Image Anal., 2020)

Atlas-based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks. - Jianing Wang 004; Dingjie Su; Yubo Fan; Srijata Chakravorti; Jack H. Noble; Benoit M. Dawant (MICCAI (4), 2021)

Validation of a hybrid active shape and deep learning intracochlear anatomy segmentation method for image-guided cochlear implant programming. - Yubo Fan; Jianing Wang 004; Rueben A. Banalagay; Jack H. Noble; Benoit M. Dawant (Image-Guided Procedures, 2021)

Metal artifact reduction, intra cochlear anatomy segmentation, and cochlear implant electrodes localization in CT images with a multi-task 3D network. - Jianing Wang 004; Yiyuan Zhao; Jack H. Noble; Benoit M. Dawant (Image Processing, 2021)

A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization. - Yubo Fan; Jianing Wang 004; Yiyuan Zhao; Rui Li 012; Han Liu; Robert F. Labadie; Jack H. Noble; Benoit M. Dawant (MICCAI (9), 2023)

COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. - Han Liu; Zhoubing Xu; Riqiang Gao; Hao Li 108; Jianing Wang 004; Guillaume Chabin; Ipek Oguz; Sasa Grbic (IEEE Trans. Medical Imaging, 2024)