Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey. - Patrice Monkam; Shouliang Qi; He Ma; Weiming Gao; Yu-Dong Yao; Wei Qian 001 (IEEE Access, 2019)

Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images. - Patrice Monkam; Shouliang Qi; Mingjie Xu; Haoming Li 003; Fangfang Han; Yueyang Teng; Wei Qian 001 (IEEE Access, 2019)

Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images. - Baihua Zhang; Shouliang Qi; Patrice Monkam; Chen Li 022; Fan Yang; Yu-Dong Yao; Wei Qian 001 (IEEE Access, 2019)

EasySpec: Automatic Specular Reflection Detection and Suppression From Endoscopic Images. - Patrice Monkam; Jing Wu; Wenkai Lu; Wenjun Shan; Hao Chen 046; Yuhao Zhai (IEEE Trans. Computational Imaging, 2021)

Seismic Structural Curvature Volume Extraction With Convolutional Neural Networks. - Yile Ao; Wenkai Lu; Bowu Jiang; Patrice Monkam (IEEE Trans. Geosci. Remote. Sens., 2021)

Multitask Learning for Super-Resolution of Seismic Velocity Model. - Yinshuo Li; Jianyong Song; Wenkai Lu; Patrice Monkam; Yile Ao (IEEE Trans. Geosci. Remote. Sens., 2021)

Deep Neural Network-Based Noisy Pixel Estimation for Breast Ultrasound Segmentation. - Songbai Jin; Wenkai Lu; Patrice Monkam (ICIP, 2022)

An efficient annotated data generation method for echocardiographic image segmentation. - Patrice Monkam; Songbai Jin; Wenkai Lu (Comput. Biol. Medicine, 2022)

EMRNet: End-to-End Electrical Model Restoration Network. - Zhuo Jia; Yinshuo Li; Wenkai Lu; Ling Zhang 006; Patrice Monkam (IEEE Trans. Geosci. Remote. Sens., 2022)

Super-Resolution of Seismic Velocity Model Guided by Seismic Data. - Yinshuo Li; Jianyong Song; Wenkai Lu; Patrice Monkam; Yile Ao (IEEE Trans. Geosci. Remote. Sens., 2022)

US-Net: A lightweight network for simultaneous speckle suppression and texture enhancement in ultrasound images. - Patrice Monkam; Wenkai Lu; Songbai Jin; Wenjun Shan; Jing Wu; Xiang Zhou; Bo Tang; Hua Zhao; Hongmin Zhang; Xin Ding; Huan Chen; Longxiang Su (Comput. Biol. Medicine, 2023)

An attention-based deep learning network for predicting Platinum resistance in ovarian cancer. - Haoming Zhuang; Beibei Li; Jingtong Ma; Patrice Monkam; Shouliang Qi; Wei Qian 001; Dianning He (CoRR, 2023)

Annotation Cost Minimization for Ultrasound Image Segmentation Using Cross-Domain Transfer Learning. - Patrice Monkam; Songbai Jin; Wenkai Lu (IEEE J. Biomed. Health Informatics, 2023)

LVSnake: Accurate and robust left ventricle contour localization for myocardial infarction detection. - Yuxuan Li; Wenkai Lu; Patrice Monkam; Zhenhui Zhu; Weichun Wu; Mengyi Liu (Biomed. Signal Process. Control., 2023)

An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer. - Haoming Zhuang; Beibei Li; Jingtong Ma; Patrice Monkam; Wei Qian 001; Dianning He (IEEE Access, 2024)

Corrections to "An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer". - Haoming Zhuang; Beibei Li; Jingtong Ma; Patrice Monkam; Wei Qian 001; Dianning He (IEEE Access, 2024)

Neuroimage analysis using artificial intelligence approaches: a systematic review. - Eric Jacob Bacon; Dianning He; N'bognon Angèle D'avilla Achi; Lanbo Wang; Han Li; Patrick Dê Zélèman Yao-Digba; Patrice Monkam; Shouliang Qi (Medical Biol. Eng. Comput., 2024)