activity
20172022
most citedInstance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN

5 citations · 15 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2022★ 5 cited

Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN

Leander Lauenburg, Zudi Lin, Ruihan Zhang +6

Instance segmentation for unlabeled imaging modalities is a challenging but essential task as collecting expert annotation can be expensive and time-consuming. Existing works segme…

cs.CV2022

Deep learning based domain adaptation for mitochondria segmentation on EM volumes

Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor Gonzalez-Marfil +2

Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning…

cs.CV2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Donglai Wei, Kisuk Lee, Hanyu Li +13

Electron microscopy (EM) enables the reconstruction of neural circuits at the level of individual synapses, which has been transformative for scientific discoveries. However, due t…

cs.CV2021★ 1 cited

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Zudi Lin, Donglai Wei, Mariela D. Petkova +12

Segmenting 3D cell nuclei from microscopy image volumes is critical for biological and clinical analysis, enabling the study of cellular expression patterns and cell lineages. Howe…

eess.IV2021

Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes

Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

Electron microscopy (EM) allows the identification of intracellular organelles such as mitochondria, providing insights for clinical and scientific studies. In recent years, a numb…

cs.AI2021★ 4 cited

Inferring spatial relations from textual descriptions of images

Aitzol Elu, Gorka Azkune, Oier Lopez de Lacalle +3

Generating an image from its textual description requires both a certain level of language understanding and common sense knowledge about the spatial relations of the physical enti…

eess.IV2020

Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19

Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi +4

Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the wo…

cs.CV2020★ 5 cited

3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction

Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras +2

This paper presents a new approach to 3D object detection that leverages the properties of the data obtained by a LiDAR sensor. State-of-the-art detectors use neural network archit…

q-bio.QM2017

Group-wise 3D registration based templates to study the evolution of ant worker neuroanatomy

Ignacio Arganda-Carreras, Darcy G Gordon, Sara Arganda +2

The evolutionary success of ants and other social insects is considered to be intrinsically linked to division of labor and emergent collective intelligence. The role of the brains…