Mireia Crispin-Ortuzar

23 papers Journal 17Unranked 6

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
2026	J	`jnl`	CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis. CoRR Di Zhang, Zhangpeng Gong, Xiaobo Pang, Jiashuai Liu, Junbo Lu, Hao Cui, Jiusong Ge, Zhi Zeng, Kai Yi, Yinghua Li, Si Liu, Tingsong Yu, Haoran Wang, Mireia Crispin-Ortuzar, Eimiao Yu, Chen Li, Zeyu Gao
2026	J	`jnl`	Developing Predictive and Robust Radiomics Models for Chemotherapy Response in High-Grade Serous Ovarian Carcinoma. CoRR Sepideh Hatamikia, Geevarghese George, Florian Schwarzhans, Amirreza Mahbod, Marika Reinius, Ali Abbasian Ardakani, Mercedes Jimenez-Linan, Satish Viswanath, Mireia Crispin-Ortuzar, Lorena Escudero Sanchez, Evis Sala, James D. Brenton, Ramona Woitek
2026	J	`jnl`	PH2ST: Prompt-guided hypergraph learning for spatial transcriptomics prediction in whole slide images. Medical Image Anal. Yi Niu, Jiashuai Liu, Yingkang Zhan, Jiangbo Shi, Di Zhang, Marika Reinius, Inês Machado, Mireia Crispin-Ortuzar, Jialun Wu, Chen Li, Zeyu Gao
2026	J	`jnl`	ProGIS: Prototype-Guided Interactive Segmentation for Pathological Images. IEEE Trans. Medical Imaging Jiusong Ge, Di Zhang, Yingkang Zhan, Jiashuai Liu, Tieliang Gong, Jialun Wu, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao
2025	J	`jnl`	CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis. Bioinform. William Knottenbelt, William McGough, Rebecca Wray, Woody Zhidong Zhang, Jiashuai Liu, Inês Prata Machado, Zeyu Gao, Mireia Crispin-Ortuzar
2025	—	`conf`	Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer. AMAI@MICCAI Shangqi Gao, Sihan Wang, Yibo Gao, Boming Wang, Xiahai Zhuang, Anne Warren, Grant D. Stewart, James O. Jones, Mireia Crispin-Ortuzar
2025	J	`jnl`	Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer. CoRR Shangqi Gao, Sihan Wang, Yibo Gao, Boming Wang, Xiahai Zhuang, Anne Warren, Grant D. Stewart, James O. Jones, Mireia Crispin-Ortuzar
2025	J	`jnl`	Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer. CoRR Daniël Boeke, Cedrik Blommestijn, Rebecca Wray, Kalina Chupetlovska, Shangqi Gao, Zeyu Gao, Regina G. H. Beets-Tan, Mireia Crispin-Ortuzar, James O. Jones, Wilson Silva, Inês Prata Machado
2025	J	`jnl`	Multi-task deep learning for automatic image segmentation and treatment response assessment in metastatic ovarian cancer. Int. J. Comput. Assist. Radiol. Surg. Bevis Drury, Inês Prata Machado, Zeyu Gao, Thomas Buddenkotte, Golnar Mahani, Gabriel Funingana, Marika Reinius, Cathal McCague, Ramona Woitek, Anju Sahdev, Evis Sala, James D. Brenton, Mireia Crispin-Ortuzar
2025	—	`conf`	Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks. MICCAI (12) Shangqi Gao, Shangde Gao, Inês Machado, Mireia Crispin-Ortuzar
2025	J	`jnl`	R CoRR Shuaike Shen, Ke Liu, Jiaqing Xie, Shangde Gao, Chunhua Shen, Ge Liu, Mireia Crispin-Ortuzar, Shangqi Gao
2025	J	`jnl`	ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction. CoRR Yi Niu, Jiashuai Liu, Yingkang Zhan, Jiangbo Shi, Di Zhang, Inês Machado, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao
2024	—	`conf`	Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography. ISBI William McGough, Thomas Buddenkotte, Stephan Ursprung, Zeyu Gao, Grant D. Stewart, Mireia Crispin-Ortuzar
2024	J	`jnl`	CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration. CoRR Thomas Buddenkotte, Roland Opfer, Julia Krüger, Alessa Hering, Mireia Crispin-Ortuzar
2024	J	`jnl`	CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis. CoRR William Knottenbelt, Zeyu Gao, Rebecca Wray, Woody Zhidong Zhang, Jiashuai Liu, Mireia Crispin-Ortuzar
2024	—	`conf`	Shallow-Deep Synergy: Boosting Cross-Domain Generalization in Histopathological Image Segmentation. BIBM Xiangyu Wang, Weiheng Su, Yuxing Dong, Yang Li, Xianli Zhang, Tieliang Gong, Inês Prata Machado, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao
2023	J	`jnl`	Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography. CoRR William McGough, Thomas Buddenkotte, Stephan Ursprung, Zeyu Gao, Grant D. Stewart, Mireia Crispin-Ortuzar
2023	J	`jnl`	Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation. Comput. Biol. Medicine Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo
2023	—	`conf`	Live Demonstration: An AI Driven Multiplexed Diagnostic Platform for Improving Cancer Care. SENSORS Saif S. Ahmad, Ama Frimpong, Mireia Crispin-Ortuzar, Nicole E. Weckman
2022	J	`jnl`	Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation. CoRR Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo
2021	—	`conf`	Predictive Modelling of Highly Multiplexed Tumour Tissue Images by Graph Neural Networks. iMIMIC/TDA4MedicalData@MICCAI Paula Martín-González, Mireia Crispin-Ortuzar, Florian Markowetz
2020	J	`jnl`	Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering. Comput. Biol. Medicine Leonardo Rundo, Lucian Beer, Stephan Ursprung, Paula Martín-González, Florian Markowetz, James D. Brenton, Mireia Crispin-Ortuzar, Evis Sala, Ramona Woitek