Imaging of sliding visceral interfaces during breathing. - Orcun Goksel; Valery Vishnevsky; Alvaro Gomariz Carrillo; Christine Tanner (ISBI, 2016)

Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences. - Alvaro Gomariz 001; Weiye Li; Ece Ozkan; Christine Tanner; Orcun Goksel (ISBI, 2019)

Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. - Alvaro Gomariz 001; Raphael Egli; Tiziano Portenier; César Nombela-Arrieta; Orcun Goksel (ISBI, 2021)

Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps. - Alvaro Gomariz 001; Tiziano Portenier; César Nombela-Arrieta; Orcun Goksel (CoRR, 2021)

Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy. - Alvaro Gomariz 001; Tiziano Portenier; Patrick M. Helbling; Stephan Isringhausen; Ute Suessbier; César Nombela-Arrieta; Orcun Goksel (Nat. Mach. Intell., 2021)

Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation. - Alvaro Gomariz 001; Huanxiang Lu; Yun Yvonna Li; Thomas Albrecht; Andreas Maunz; Fethallah Benmansour; Alessandra M. Valcarcel; Jennifer Luu; Daniela Ferrara; Orcun Goksel (MICCAI (8), 2022)

Aggregation Model Hyperparameters Matter in Digital Pathology. - Gustav Bredell; Marcel Fischer; Przemyslaw Szostak; Samaneh Abbasi-Sureshjani; Alvaro Gomariz 001 (CoRR, 2023)

Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks. - Victor Ibañez; Przemyslaw Szostak; Quincy Wong; Konstanty Korski; Samaneh Abbasi-Sureshjani; Alvaro Gomariz 001 (ISBI, 2024)

The Importance of Downstream Networks in Digital Pathology Foundation Models. - Gustav Bredell; Marcel Fischer; Przemyslaw Szostak; Samaneh Abbasi-Sureshjani; Alvaro Gomariz 001 (MedAGI@MICCAI, 2024)

Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation. - Alvaro Gomariz 001; Yusuke Kikuchi; Yun Yvonna Li; Thomas Albrecht; Andreas Maunz; Daniela Ferrara; Huanxiang Lu; Orcun Goksel (CoRR, 2024)

Characterizing the Interpretability of Attention Maps in Digital Pathology. - Tomé Albuquerque; Anil Yüce; Markus D. Herrmann; Alvaro Gomariz 001 (CoRR, 2024)

Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation. - Alvaro Gomariz 001; Yusuke Kikuchi; Yun Yvonna Li; Thomas Albrecht; Andreas Maunz; Daniela Ferrara; Huanxiang Lu; Orcun Goksel (Medical Image Anal., 2025)