Alvaro Gomariz

16 papers Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation. Medical Image Anal. Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Daniela Ferrara, Huanxiang Lu, Orcun Goksel
2024	J	`jnl`	Characterizing the Interpretability of Attention Maps in Digital Pathology. CoRR Tomé Albuquerque, Anil Yüce, Markus D. Herrmann, Alvaro Gomariz
2024	—	`conf`	Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks. ISBI Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz
2024	J	`jnl`	Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks. CoRR Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz
2024	J	`jnl`	Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation. CoRR Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Daniela Ferrara, Huanxiang Lu, Orcun Goksel
2024	—	`conf`	The Importance of Downstream Networks in Digital Pathology Foundation Models. MedAGI@MICCAI Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz
2023	J	`jnl`	Aggregation Model Hyperparameters Matter in Digital Pathology. CoRR Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz
2022	—	`conf`	Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation. MICCAI (8) Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel
2022	J	`jnl`	Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation. CoRR Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel
2021	J	`jnl`	Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy. Nat. Mach. Intell. Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orcun Goksel
2021	J	`jnl`	Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps. CoRR Alvaro Gomariz, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
2021	—	`conf`	Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. ISBI Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
2021	J	`jnl`	Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. CoRR Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
2020	J	`jnl`	Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy. CoRR Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orçun Göksel
2019	—	`conf`	Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences. ISBI Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orcun Goksel
2019	J	`jnl`	Siamese Networks with Location Prior for Landmark Tracking in Liver Ultrasound Sequences. CoRR Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orçun Göksel