Alvaro Gomariz

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Spatial Analysis

Fluorescence Microscopy

Top Venues

Nat. Mach. Intell.

Publications

Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Daniela Ferrara, Huanxiang Lu, Orcun Goksel
Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation. CoRR (2024)
Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz
Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks. CoRR (2024)
Tomé Albuquerque, Anil Yüce, Markus D. Herrmann, Alvaro Gomariz
Characterizing the Interpretability of Attention Maps in Digital Pathology. CoRR (2024)
Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation. MICCAI (8) (2022)
Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation. CoRR (2022)
Alvaro Gomariz, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps. CoRR (2021)
Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. CoRR (2021)
Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. ISBI (2021)
Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orcun Goksel
Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy. Nat. Mach. Intell. 3 (9) (2021)
Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orçun Göksel
Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy. CoRR (2020)
Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orcun Goksel
Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences. ISBI (2019)
Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orçun Göksel
Siamese Networks with Location Prior for Landmark Tracking in Liver Ultrasound Sequences. CoRR (2019)