Stephen J. Price

23 papers A 1Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Systematic Review on Data-Driven Brain Deformation Modeling for Image-Guided Neurosurgery. CoRR Tiago Assis, Colin Galvin, Joshua Pardillo Castillo, Nazim Haouchine, Marta Kersten-Oertel, Zeyu Gao, Mireia Crispin-Ortuzar, Stephen J. Price, Thomas Santarius, Yangming Ou, Sarah F. Frisken, Nuno C. Garcia, Alexandra J. Golby, Reuben Dorent, Inês Prata Machado
2025	J	`jnl`	Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods. CoRR Carmen Jimenez-Mesa, Yizhou Wan, Guilio Sansone, Francisco Jesús Martínez-Murcia, Javier Ramírez, Pietro Lio, Juan Manuel Górriz, Stephen J. Price, John Suckling, Michail Mamalakis
2024	J	`jnl`	Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics. CoRR Xiaofei Wang, Xingxu Huang, Stephen J. Price, Chao Li
2024	J	`jnl`	Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction. Comput. Medical Imaging Graph. Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2023	—	`conf`	Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. ISBI Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb
2023	—	`conf`	G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. CMMCA@MICCAI Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2023	J	`jnl`	Multi-Modal Learning for Predicting the Genotype of Glioma. IEEE Trans. Medical Imaging Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
2023	—	`conf`	Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories. ISBI Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
2022	—	`conf`	Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma. ISBI Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
2022	J	`jnl`	Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma. CoRR Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
2022	J	`jnl`	Multi-modal learning for predicting the genotype of glioma. CoRR Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
2022	J	`jnl`	Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading. CoRR Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
2022	A	`conf`	Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading. BMVC Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
2022	J	`jnl`	Predicting conversion of mild cognitive impairment to Alzheimer's disease. CoRR Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
2021	—	`conf`	Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma. BrainLes@MICCAI (1) Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2021	J	`jnl`	Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma. CoRR Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2021	J	`jnl`	Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma. CoRR Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb
2021	—	`conf`	Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks. BrainLes@MICCAI (1) Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
2021	J	`jnl`	Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks. CoRR Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
2021	—	`conf`	Quantifying Structural Connectivity in Brain Tumor Patients. MICCAI (7) Yiran Wei, Chao Li, Stephen J. Price
2020	J	`jnl`	Multi-scale segmentation in GBM treatment using diffusion tensor imaging. Comput. Biol. Medicine Roushanak Rahmat, Khadijeh Saednia, Mohammad Reza Haji Hosseini Khani, Mohamad Rahmati, Raj Jena, Stephen J. Price
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
2012	—	`conf`	Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. MICCAI (3) Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, Çagatay Demiralp, Jamie Shotton, Owen M. Thomas, Tilak Das, Raj Jena, Stephen J. Price