Álvaro Gomariz

Roche (Switzerland) — Switzerland

Biochemistry, Genetics and Molecular Biology · Life Sciences

11h-index828citations34works1.02yr avg
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Research Topics

Cell Image Analysis Techniques(11), AI in cancer detection(8), Hematopoietic Stem Cell Transplantation(7), Domain Adaptation and Few-Shot Learning(6), Immune Cell Function and Interaction(4)

Publications34 total

Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
Medical Image Analysis·2025· 4 cited
The Importance of Downstream Networks in Digital Pathology Foundation Models
Lecture notes in computer science·2024
2015 – STRUCTURAL AND FUNCTIONAL ANALYSIS OF BONE MARROW STROMAL NETWORKS DURING CHEMOTHERAPY
Experimental Hematology·2024Open Access
Characterizing the Interpretability of Attention Maps in Digital Pathology
arXiv (Cornell University)·2024· 1 citedOpen Access
Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks
2024· 2 cited
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
arXiv (Cornell University)·2024Open Access
Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
arXiv (Cornell University)·2024Open Access
The Importance of Downstream Networks in Digital Pathology Foundation Models
arXiv (Cornell University)·2023Open Access
Tissue-scale dynamic mapping of Hematopoietic Stem Cells and supportive niche cells in the fetal liver
2023· 3 citedOpen Access
Biased IL-2 signals induce Foxp3-rich pulmonary lymphoid structures and facilitate long-term lung allograft acceptance in mice
Nature Communications·2023· 28 citedOpen Access
3206 – TISSUE-SCALE SPATIAL ANALYSIS OF HEMATOPOIETIC STEM CELLS AND STROMAL NICHE SUBTYPES IN THE FETAL LIVER MICROENVIRONMENT
Experimental Hematology·2023
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation
arXiv (Cornell University)·2022· 1 citedOpen Access
Probabilistic spatial analysis in quantitative microscopy with uncertainty-aware cell detection using deep Bayesian regression
Science Advances·2022· 7 citedOpen Access
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation
Lecture notes in computer science·2022· 10 cited
Chronic viral infections persistently alter marrow stroma and impair hematopoietic stem cell fitness
The Journal of Experimental Medicine·2021· 48 citedOpen Access
Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy
Nature Machine Intelligence·2021· 17 citedOpen Access
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers
2021· 1 citedOpen Access
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps
arXiv (Cornell University)·2021Open Access
Probabilistic Spatial Analysis in Quantitative Microscopy with\n Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density\n Maps
arXiv (Cornell University)·2021· 1 citedOpen Access
Utilizing Uncertainty Estimation in Deep Learning Segmentation of\n Fluorescence Microscopy Images with Missing Markers
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

César Nombela‐Arrieta(20), Orçun Göksel(15), Stephan Isringhausen(10), Takashi Nagasawa(8), Patrick M. Helbling(8), Markus G. Manz(7), Tiziano Portenier(6), Ute Suessbier(5), Larisa V. Kovtonyuk(4), Huanxiang Lu(4), Yun Yvonna Li(4), Andreas Maunz(4), Daniela Ferrara(4), Przemysław Szostak(4), Samaneh Abbasi-Sureshjani(4), Hui Chyn Wong(3), Christine Tanner(3), Thomas Albrecht(3), Anjali Vijaykumar(3), Hitoshi Takizawa(2)