Leonard Wee - RankMe

22 papers Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Vulnerabilities of feature clustering in EIT radiomics. Comput. Biol. Medicine Maike S. V. Imkamp, Vasco C. G. Prudente, Eda Aydeniz, Frank van Rosmalen, Sebastiaan de Jongh, Sander M. J. van Kuijk, Christof Seiler, Joep Schellens, Mariëlle Driessen, Serge J. H. Heines, Iwan C. C. van der Horst, Dennis C. J. J. Bergmans, Leonard Wee, Bas C. T. van Bussel
2025	J	`jnl`	Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation. Biomed. Signal Process. Control. Weixing Li, Xipeng Pan, Zhen Zhang, Guangyao Wu, Guanchao Ye, Leonard Wee, Andre Dekker, Chu Han, Lei Shi, Zaiyi Liu, Zhenbing Liu, Zhenwei Shi
2025	J	`jnl`	Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. Expert Syst. Appl. Zhenbing Liu, Weixing Li, Yanfen Cui, Xin Chen, Xipeng Pan, Guanchao Ye, Guangyao Wu, Yongde Liao, Leroy Volmer, Leonard Wee, Andre Dekker, Chu Han, Zaiyi Liu, Zhenwei Shi
2025	J	`jnl`	PET/CT-based deep learning model predicts distant metastasis after SBRT for early-stage NSCLC: A multicenter study. Comput. Medical Imaging Graph. Lu Yu, Shenlun Chen, Junyi Li, Heqing Yi, Jin Wang, Jianjiao Ni, Xiaoli Zheng, Hong Ge, Zhengfei Zhu, Ligang Xing, Petros Kalendralis, Leonard Wee, Andre Dekker, Zhen Zhang, Zhaoxiang Ye, Zhiyong Yuan
2024	J	`jnl`	SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. Comput. Biol. Medicine 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
2023	J	`jnl`	Are all shortcuts in encoder-decoder networks beneficial for CT denoising? Comput. methods Biomech. Biomed. Eng. Imaging Vis. Junhua Chen, Chong Zhang, Leonard Wee, Andre Dekker, Iñigo Bermejo
2023	J	`jnl`	Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma. J. Digit. Imaging 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
2023	J	`jnl`	External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer. J. Digit. Imaging Ashish Kumar Jha, Umeshkumar B. Sherkhane, Sneha Mithun, Vinay Jaiswar, Nilendu Purandare, Kumar Prabhash, Leonard Wee, Venkatesh Rangarajan, Andre Dekker
2023	J	`jnl`	GAN-based one dimensional medical data augmentation. Soft Comput. Ye Zhang, Zhixiang Wang, Zhen Zhang, Junzhuo Liu, Ying Feng, Leonard Wee, Andre Dekker, Qiaosong Chen, Alberto Traverso
2023	—	`conf`	Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations. SWAT4HCLS Varsha Gouthamchand, Ananya Choudhury, Frank Hoebers, Frederik Wesseling, Mattea Welch, Sejin Kim, Benjamin Haibe-Kains, Joanna Kazmierska, Andre Dekker, Johan van Soest, Leonard Wee
2023	J	`jnl`	Systematic review and meta-analysis of prediction models used in cervical cancer. Artif. Intell. Medicine 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
2022	J	`jnl`	Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. CoRR 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
2021	J	`jnl`	Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients. Sensors 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
2021	J	`jnl`	Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study. CoRR Junhua Chen, Iñigo Bermejo, Andre Dekker, Leonard Wee
2021	J	`jnl`	Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study. CoRR Junhua Chen, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, Iñigo Bermejo
2021	J	`jnl`	Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics. CoRR Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Iñigo Bermejo
2020	—	`conf`	Auto Segmentation of Lung in Non-small Cell Lung Cancer Using Deep Convolution Neural Network. ICACDS Ravindra Patil, Leonard Wee, Andre Dekker
2020	—	`conf`	Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms. Biomedical Applications in Molecular, Structural, and Functional Imaging 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 B. Chepeha, John De Almeida, David Goldstein, David A. Jaffray, Leonard Wee, Andre Dekker, Andrew Hope
2020	J	`jnl`	Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics. Artif. Intell. Medicine Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath, Leonard Wee, Andre Dekker, Sudhakar Sampangi
2019	—	`conf`	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 Zhenwei Shi, Chong Zhang, Inge Compter, Maikel Verduin, Ann Hoeben, Danielle Eekers, Andre Dekker, Leonard Wee
2019	—	`conf`	FAIR Quantitative Imaging in Oncology: how Semantic Web and Ontologies will support Reproducible Science. SWAT4HCLS Alberto Traverso, Zhenwei Shi, Leonard Wee, Andre Dekker
2019	—	`conf`	Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques. SWAT4HCLS Alberto Traverso, Martin Vallières, Johan van Soest, Leonard Wee, Olivier Morin, Andre Dekker