Alvaro Gomariz

According to our database, Alvaro Gomariz authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Characterizing the Interpretability of Attention Maps in Digital Pathology.

Tomé Albuquerque, Anil Yüce, Markus D. Herrmann, Alvaro Gomariz

CoRR, 2024

Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation.

Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Daniela Ferrara, Huanxiang Lu, Orcun Goksel

CoRR, 2024

The Importance of Downstream Networks in Digital Pathology Foundation Models.

Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz

Proceedings of the Foundation Models for General Medical AI, 2024

Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks.

Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Aggregation Model Hyperparameters Matter in Digital Pathology.

Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz

CoRR, 2023

2022

Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation.

Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy.

Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orcun Goksel

Nat. Mach. Intell., 2021

Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps.

Alvaro Gomariz, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel

CoRR, 2021

Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers.

Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences.

Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orcun Goksel

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2016

Imaging of sliding visceral interfaces during breathing.

Orcun Goksel, Valery Vishnevsky, Alvaro Gomariz Carrillo, Christine Tanner

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016