output
20192023
most citedCommunity-developed checklists for publishing images and image analysis

87 citations

6 papers

q-bio.QM2023★ 4 cited

MigraR: an open-source, R-based application for analysis and quantification of cell migration parameters

Nirbhaya Shajia, Florbela Nunes, M. Ines Rocha +2

Background and objective: Cell migration is essential for many biological phenomena with direct impact on human health and disease. One conventional approach to study cell migratio…

q-bio.OT2023★ 87 cited

Community-developed checklists for publishing images and image analysis

Christopher Schmied, Michael Nelson, Sergiy Avilov +51

Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. H…

math.OC2022★ 34 cited

Quantization for decentralized learning under subspace constraints

Roula Nassif, Stefan Vlaski, Marco Carpentiero +3

In this paper, we consider decentralized optimization problems where agents have individual cost functions to minimize subject to subspace constraints that require the minimizers a…

q-bio.QM2021★ 53 cited

HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization

Eduardo Conde-Sousa, João Vale, Ming Feng +15

Breast cancer is the most common malignancy in women, being responsible for more than half a million deaths every year. As such, early and accurate diagnosis is of paramount import…

cs.CL2021★ 10 cited

Modeling chronic pain experiences from online reports using the Reddit Reports of Chronic Pain dataset

Diogo A. P. Nunes, Joana Ferreira-Gomes, Fani Neto +1

Objective: Reveal and quantify qualities of reported experiences of chronic pain on social media, from multiple pathological backgrounds, by means of the novel Reddit Reports of Ch…

cs.CV2019★ 10 cited

Whole slide image registration for the study of tumor heterogeneity

Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita +3

Consecutive thin sections of tissue samples make it possible to study local variation in e.g. protein expression and tumor heterogeneity by staining for a new protein in each secti…