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ORCIDAlvaro Gomariz 0001
Person information
- affiliation: University of Zurich, University Hospital, Department of Medical Oncology and Hematology, Switzerland
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2020 – today
- 2024
[c6]Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz:
Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks. ISBI 2024: 1-4- [c5]Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani
, Alvaro Gomariz:
The Importance of Downstream Networks in Digital Pathology Foundation Models. MedAGI@MICCAI 2024: 10-19 - [i9]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 abs/2403.15068 (2024) - [i8]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 abs/2405.05336 (2024) - [i7]Tomé Albuquerque, Anil Yüce, Markus D. Herrmann, Alvaro Gomariz:
Characterizing the Interpretability of Attention Maps in Digital Pathology. CoRR abs/2407.02484 (2024) - 2023
- [i6]Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz:
Aggregation Model Hyperparameters Matter in Digital Pathology. CoRR abs/2311.17804 (2023) - 2022
- [c4]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: 351-361 - [i5]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 abs/2203.03664 (2022) - 2021
- [j1]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): 799-811 (2021) - [c3]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: 371-374 - [i4]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 abs/2101.11476 (2021) - [i3]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 abs/2102.11865 (2021) - 2020
- [i2]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 abs/2008.12380 (2020)
2010 – 2019
- 2019
- [c2]Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orcun Goksel:
Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences. ISBI 2019: 1757-1760 - [i1]Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orçun Göksel:
Siamese Networks with Location Prior for Landmark Tracking in Liver Ultrasound Sequences. CoRR abs/1901.08109 (2019) - 2016
- [c1]Orcun Goksel, Valery Vishnevsky, Alvaro Gomariz Carrillo, Christine Tanner:
Imaging of sliding visceral interfaces during breathing. ISBI 2016: 298-301
Coauthor Index
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