Leonard Wee

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Tumor Segmentation

Multiple Instance

Top Venues

Artif. Intell. Medicine

J. Digit. Imaging

Publications

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
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. Comput. Biol. Medicine 169 (2024)
Junhua Chen, Chong Zhang, Leonard Wee, Andre Dekker, Iñigo Bermejo
Are all shortcuts in encoder-decoder networks beneficial for CT denoising? Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (1) (2023)
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
Systematic review and meta-analysis of prediction models used in cervical cancer. Artif. Intell. Medicine 139 (2023)
Varsha Gouthamchand, Ananya Choudhury, Frank Hoebers, Frederik Wesseling, Mattea Welch, Sejin Kim, Benjamin Haibe-Kains, Joanna Kazmierska, Andre Dekker, Johan van Soest, Leonard Wee
Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations. SWAT4HCLS (2023)
Ashish Kumar Jha, Umeshkumar B. Sherkhane, Sneha Mithun, Vinay Jaiswar, Nilendu Purandare, Kumar Prabhash, Leonard Wee, Venkatesh Rangarajan, Andre Dekker
External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer. J. Digit. Imaging 36 (6) (2023)
Ye Zhang, Zhixiang Wang, Zhen Zhang, Junzhuo Liu, Ying Feng, Leonard Wee, Andre Dekker, Qiaosong Chen, Alberto Traverso
GAN-based one dimensional medical data augmentation. Soft Comput. 27 (15) (2023)
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
Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma. J. Digit. Imaging 36 (3) (2023)
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
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. CoRR (2022)
Junhua Chen, Iñigo Bermejo, Andre Dekker, Leonard Wee
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study. CoRR (2021)
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
Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients. Sensors 21 (6) (2021)
Junhua Chen, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, Iñigo Bermejo
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study. CoRR (2021)
Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Iñigo Bermejo
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics. CoRR (2021)
Ravindra Patil, Leonard Wee, Andre Dekker
Auto Segmentation of Lung in Non-small Cell Lung Cancer Using Deep Convolution Neural Network. ICACDS (2020)
Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath, Leonard Wee, Andre Dekker, Sudhakar Sampangi
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics. Artif. Intell. Medicine 105 (2020)
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
Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Zhenwei Shi, Chong Zhang, Inge Compter, Maikel Verduin, Ann Hoeben, Danielle Eekers, Andre Dekker, Leonard Wee
A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma. RNO-AI@MICCAI (2019)
Alberto Traverso, Zhenwei Shi, Leonard Wee, Andre Dekker
FAIR Quantitative Imaging in Oncology: how Semantic Web and Ontologies will support Reproducible Science. SWAT4HCLS (2019)
Alberto Traverso, Martin Vallières, Johan van Soest, Leonard Wee, Olivier Morin, Andre Dekker
Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques. SWAT4HCLS (2019)