Jiapan Guo

According to our database, Jiapan Guo authored at least 14 papers between 2015 and 2023.

Collaborative distances:

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

2023

Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection.

Jie Ren, Wenya Yu, Jiapan Guo, Weichuan Zhang, Changming Sun

CoRR, 2023

TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer.

Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients.

Baoqiang Ma, Yan Li, Hung Chu, Wei Tang, Luis Ricardo De la O. Arévalo, Jiapan Guo, Peter M. A. van Ooijen, Stefan Both, Johannes A. Langendijk, Lisanne van Dijk, Nanna Maria Sijtsema

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021

Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer.

Baoqiang Ma, Jiapan Guo, Alessia De Biase, Nikos Sourlos, Wei Tang, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images.

Alessia De Biase, Wei Tang, Nikos Sourlos, Baoqiang Ma, Jiapan Guo, Nanna Maria Sijtsema, Peter M. A. van Ooijen

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2020

Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.

Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen

IEEE Trans. Medical Imaging, 2020

Recurrent convolutional neural networks for mandible segmentation from computed tomography.

Bingjiang Qiu, Jiapan Guo, Joep Kraeima, Haye H. Glas, Ronald J. H. Borra, Max J. H. Witjes, Peter M. A. van Ooijen

CoRR, 2020

2019

Detection of <i>u</i>-serrated patterns in direct immunofluorescence images of autoimmune bullous diseases by inhibition-augmented COSFIRE filters.

Chenyu Shi, Joost M. Meijer, Jiapan Guo, George Azzopardi, Gilles F. H. Diercksr, Enno Schmidt, Detlef Zillikens, Marcel F. Jonkman, Nicolai Petkov

Int. J. Medical Informatics, 2019

Automatic Determination of Vertical Cup-to-Disc Ratio in Retinal Fundus Images for Glaucoma Screening.

Jiapan Guo, George Azzopardi, Chenyu Shi, Nomdo M. Jansonius, Nicolai Petkov

IEEE Access, 2019

2018

3D segmentation of mandible from multisectional CT scans by convolutional neural networks.

Bingjiang Qiu, Jiapan Guo, Joep Kraeima, Ronald J. H. Borra, Max J. H. Witjes, Peter M. A. van Ooijen

CoRR, 2018

2017

Inhibition-augmented COSFIRE model of shape-selective neurons.

Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov

IBM J. Res. Dev., 2017

2016

Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition.

Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov

Mach. Vis. Appl., 2016

2015

Automatic Differentiation of u- and n-serrated Patterns in Direct Immunofluorescence Images.

Chenyu Shi, Jiapan Guo, George Azzopardi, Joost M. Meijer, Marcel F. Jonkman, Nicolai Petkov

Proceedings of the Computer Analysis of Images and Patterns, 2015

Recognition of Architectural and Electrical Symbols by COSFIRE Filters with Inhibition.

Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov

Proceedings of the Computer Analysis of Images and Patterns, 2015