Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering. - Leonardo Rundo; Lucian Beer; Stephan Ursprung; Paula Martin-Gonzalez; Florian Markowetz; James D. Brenton; Mireia Crispin-Ortuzar; Evis Sala; Ramona Woitek (Comput. Biol. Medicine, 2020)

Predictive Modelling of Highly Multiplexed Tumour Tissue Images by Graph Neural Networks. - Paula Martin-Gonzalez; Mireia Crispin-Ortuzar; Florian Markowetz (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation. - Thomas Buddenkotte; Lorena Escudero Sanchez; Mireia Crispin-Ortuzar; Ramona Woitek; Cathal McCague; James D. Brenton; Ozan Öktem; Evis Sala; Leonardo Rundo (CoRR, 2022)

Live Demonstration: An AI Driven Multiplexed Diagnostic Platform for Improving Cancer Care. - Saif S. Ahmad; Ama Frimpong; Mireia Crispin-Ortuzar; Nicole E. Weckman (SENSORS, 2023)

Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation. - Thomas Buddenkotte; Lorena Escudero Sanchez; Mireia Crispin-Ortuzar; Ramona Woitek; Cathal McCague; James D. Brenton; Ozan Öktem; Evis Sala; Leonardo Rundo (Comput. Biol. Medicine, 2023)

Shallow-Deep Synergy: Boosting Cross-Domain Generalization in Histopathological Image Segmentation. - Xiangyu Wang; Weiheng Su; Yuxing Dong; Yang Li 139; Xianli Zhang; Tieliang Gong; Inês Prata Machado; Mireia Crispin-Ortuzar; Chen Li 011; Zeyu Gao 001 (BIBM, 2024)

Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography. - William McGough; Thomas Buddenkotte; Stephan Ursprung; Zeyu Gao 001; Grant Stewart; Mireia Crispin-Ortuzar (ISBI, 2024)

A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. - Inês Prata Machado; Anna Reithmeir; Fryderyk Victor Kögl; Leonardo Rundo; Gabriel Funingana; Marika Reinius; Gift Mungmeeprued; Zeyu Gao 001; Cathal McCague; Eric Kerfoot; Ramona Woitek; Evis Sala; et al. (WBIR, 2024)

CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis. - William Knottenbelt; Zeyu Gao 001; Rebecca Wray; Woody Zhidong Zhang; Jiashuai Liu; Mireia Crispin-Ortuzar (CoRR, 2024)

CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration. - Thomas Buddenkotte; Roland Opfer; Julia Krüger; Alessa Hering; Mireia Crispin-Ortuzar (CoRR, 2024)

ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction. - Yi Niu; Jiashuai Liu; Yingkang Zhan; Jiangbo Shi; Di Zhang; Inês Machado; Mireia Crispin-Ortuzar; Chen Li 011; Zeyu Gao 001 (CoRR, 2025)