Leonard Wee

According to our database, Leonard Wee authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation.

Zhihe Zhao, Siyao Du, Zeyan Xu, Zhi Yin, Xiaomei Huang, Xin Huang, Chinting Wong, Yanting Liang, Jing Shen, Jianlin Wu, Jinrong Qu, Lina Zhang, Yanfen Cui, Ying Wang, Leonard Wee, Andre Dekker, Chu Han, Zaiyi Liu, Zhenwei Shi, Changhong Liang

Comput. Biol. Medicine, February, 2024

2023

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.

Ashish Kumar Jha, Umeshkumar B. Sherkhane, Sneha Mithun, Vinay Jaiswar, Nilendu Purandare, Kumar Prabhash, Leonard Wee, Venkatesh Rangarajan, Andre Dekker

J. Digit. Imaging, December, 2023

GAN-based one dimensional medical data augmentation.

Ye Zhang, Zhixiang Wang, Zhen Zhang, Junzhuo Liu, Ying Feng, Leonard Wee, Andre Dekker, Qiaosong Chen, Alberto Traverso

Soft Comput., August, 2023

Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma.

Sneha Mithun, Ashish Kumar Jha, Umeshkumar B. Sherkhane, Vinay Jaiswar, Nilendu Purandare, Andre Dekker, Sander Puts, Iñigo Bermejo, Venkatesh Rangarajan, Catharina M. L. Zegers, Leonard Wee

J. Digit. Imaging, June, 2023

Systematic review and meta-analysis of prediction models used in cervical cancer.

Ashish Kumar Jha, Sneha Mithun, Umeshkumar B. Sherkhane, Vinay Jaiswar, Biche Osong, Nilendu Purandare, Sadhana Kannan, Kumar Prabhash, Sudeep Gupta, Ben G. L. Vanneste, Venkatesh Rangarajan, Andre Dekker, Leonard Wee

Artif. Intell. Medicine, May, 2023

Are all shortcuts in encoder-decoder networks beneficial for CT denoising?

Junhua Chen, Chong Zhang, Leonard Wee, Andre Dekker, Iñigo Bermejo

Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2023

Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations.

Varsha Gouthamchand, Ananya Choudhury, Frank Hoebers, Frederik Wesseling, Mattea Welch, Sejin Kim, Benjamin Haibe-Kains, Joanna Kazmierska, Andre Dekker, Johan van Soest, Leonard Wee

Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023

2022

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark.

Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Keyvan Farahani, Justin S. Kirby, Anastasia Oikonomou, Amir Asif, Leonard Wee, Andre Dekker, Xin Wu, Mohammad Ariful Haque, Shahruk Hossain, Md. Kamrul Hasan, Uday Kamal, Winston H. Hsu, Jhih-Yuan Lin, M. Sohel Rahman, Nabil Ibtehaz, Sh. M. Amir Foisol, Kin-Man Lam, Zhong Guang, Runze Zhang, Sumohana S. Channappayya, Shashank Gupta, Chander Dev

CoRR, 2022

2021

Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients.

Leanne L. G. C. Ackermans, Leroy Volmer, Leonard Wee, Ralph Brecheisen, Patricia Sánchez-González, Alexander P. Seiffert, Enrique J. Gómez, Andre Dekker, Jan A. Ten Bosch, Steven M. W. Olde Damink, Taco J. Blokhuis

Sensors, 2021

Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study.

Junhua Chen, Iñigo Bermejo, Andre Dekker, Leonard Wee

CoRR, 2021

Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study.

Junhua Chen, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, Iñigo Bermejo

CoRR, 2021

Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics.

Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Iñigo Bermejo

CoRR, 2021

2020

Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics.

Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath, Leonard Wee, Andre Dekker, Sudhakar Sampangi

Artif. Intell. Medicine, 2020

Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms.

Alberto Traverso, Ali Hosni-Abdalaty, Mohammad Hasan, Tony Tadic, Tirth Patel, Meredith Giuliani, John Kim, Jolie Ringash, John Cho, Scott V. Bratman, Andrew Bayley, John Waldron, Brian O'Sullivan, Jonathan C. Irish, Douglas Chepeha, John De Almeida, David Goldstein, David A. Jaffray, Leonard Wee, Andre Dekker, Andrew Hope

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Auto Segmentation of Lung in Non-small Cell Lung Cancer Using Deep Convolution Neural Network.

Ravindra Patil, Leonard Wee, Andre Dekker

Proceedings of the Advances in Computing and Data Sciences - 4th International Conference, 2020

2019

Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques.

Alberto Traverso, Martin Vallières, Johan van Soest, Leonard Wee, Olivier Morin, Andre Dekker

Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

FAIR Quantitative Imaging in Oncology: how Semantic Web and Ontologies will support Reproducible Science.

Alberto Traverso, Zhenwei Shi, Leonard Wee, Andre Dekker

Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma.

Zhenwei Shi, Chong Zhang, Inge Compter, Maikel Verduin, Ann Hoeben, Danielle Eekers, Andre Dekker, Leonard Wee

Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019