Patrice Monkam

According to our database, Patrice Monkam authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

2025

Enhancing Lesion Segmentation in Ultrasound Images: The Impact of Targeted Data Augmentation Strategies.

Xu Wang, Patrice Monkam, Bonan Zhao, Shouliang Qi, He Ma, Long Huang, Wei Qian

Int. J. Biomed. Imaging, 2025

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., September, 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, Dianning He

IEEE Access, 2024

An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer.

Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Wei Qian, Dianning He

IEEE Access, 2024

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., August, 2023

Annotation Cost Minimization for Ultrasound Image Segmentation Using Cross-Domain Transfer Learning.

Patrice Monkam, Songbai Jin, Wenkai Lu

IEEE J. Biomed. Health Informatics, April, 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, Dianning He

CoRR, 2023

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

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

EMRNet: End-to-End Electrical Model Restoration Network.

Zhuo Jia, Yinshuo Li, Wenkai Lu, Ling Zhang, Patrice Monkam

IEEE Trans. Geosci. Remote. Sens., 2022

An efficient annotated data generation method for echocardiographic image segmentation.

Patrice Monkam, Songbai Jin, Wenkai Lu

Comput. Biol. Medicine, 2022

Deep Neural Network-Based Noisy Pixel Estimation for Breast Ultrasound Segmentation.

Songbai Jin, Wenkai Lu, Patrice Monkam

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

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

Seismic Structural Curvature Volume Extraction With Convolutional Neural Networks.

Yile Ao, Wenkai Lu, Bowu Jiang, Patrice Monkam

IEEE Trans. Geosci. Remote. Sens., 2021

EasySpec: Automatic Specular Reflection Detection and Suppression From Endoscopic Images.

Patrice Monkam, Jing Wu, Wenkai Lu, Wenjun Shan, Hao Chen, Yuhao Zhai

IEEE Trans. Computational Imaging, 2021

2019

Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images.

Baihua Zhang, Shouliang Qi, Patrice Monkam, Chen Li, Fan Yang, Yu-Dong Yao, Wei Qian

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, Fangfang Han, Yueyang Teng, Wei Qian

IEEE Access, 2019

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

IEEE Access, 2019