DeepImageJ: A user-friendly environment to run deep learning models in ImageJ

bioRxiv - 5/2021

https://doi.org/10.1101/799270 View at source

• UC3M

A radiological score for the assessment of tuberculosis progression: Validation in mouse models

Tuberculosis - 3/2020

https://doi.org/10.1016/j.tube.2020.101918 View at source

• EISSN 1873-281X
• ISSN 1472-9792

• UC3M

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis

Sensors (p. 1-23) - 3/2023

https://doi.org/10.3390/s23063338 View at source

• EISSN 1424-8220
• ISSN 1424-3210

• UC3M

Development of an Inverted Epifluorescence Microscope for Long-Term Monitoring of Bacteria in Multiplexed Microfluidic Devices

Sensors (p. 1-14) - 8/2020

https://doi.org/10.3390/s20154140 View at source

• EISSN 1424-8220
• ISSN 1424-3210

• UC3M

X-ray-based virtual slicing of TB-infected lungs

Scientific Reports (p. 19404) - 12/2019

https://doi.org/10.1038/s41598-019-55986-y View at source

• ISSN 2045-2322

• UC3M

Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets

Scientific Reports (p. 1-13) - 10/2021

https://doi.org/10.1038/s41598-021-00199-5 View at source

• ISSN 2045-2322

• UC3M

Predicting MHC I restricted T cell epitopes in mice with NAP-CNB, a novel online tool

Scientific Reports (p. 1-10) - 5/2021

10.1038/s41598-021-89927-5 View at source

• ISSN 2045-2322

• UC3M

Unsupervised CT lung image segmentation of a mycobacterium tuberculosis infection model

Scientific Reports (p. 1-10) - 6/2018

https://doi.org/10.1038/s41598-018-28100-x View at source

• ISSN 2045-2322

• UC3M

Deep-learning-based segmentation of small extracellular vesicles in transmission electron microscopy images

Scientific Reports (p. 1-10) - 9/2019

https://doi.org/10.1038/s41598-019-49431-3 View at source

• ISSN 2045-2322

• UC3M

Innovations in ex vivo Light Sheet Fluorescence Microscopy

PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY (p. 37-51) - 1/2022

https://doi.org/10.1016/j.pbiomolbio.2021.07.002 View at source

• EISSN 1873-1732
• ISSN 0079-6107

• UC3M

Acquisition and Automated Analysis of Normal and Pathological Lungs in Small Animals Using Microcomputed Tomography. In: Lung Imaging and Computer Aided Diagnosis

Lung Imaging and Computer Aided Diagnosis (p. 137-150) - 4/2016

Editor: CRC PRESS

• ISBN 978-1-4398-4558-5

• UC3M

Emerging technologies and outlook. In: ImagingModalitiesforBiological andPreclinicalResearch: ACompendium,Volume2 Parts II&-IV: In vivo preclinical imaging, multimodality imaging and outlook

ImagingModalitiesforBiological andPreclinicalResearch: ACompendium,Volume2 Parts II&-IV: In vivo preclinical imaging, multimodality imaging and outlook (p. V.1-1-IV.1-14) - 5/2021

Editor: IOP PUBLISHING LTD

https://doi.org/10.1088/978-0-7503-3747-2ch31 View at source

• ISBN 978-0-7503-3747-2

• UC3M

Building a bioimage analysis workflow using deep learning. In: Bioimage data analysis workflows ¿ Advanced components and methods

Bioimage data analysis workflows ¿ Advanced components and methods (p. 61-87) - 9/2022

Editor: Springer Berlin / Heidelberg

https://doi.org/10.1007/978-3-030-76394-7_4 View at source

• ISBN 978-3-030-76394-7

• UC3M

PDMS Microfluidic Chip for Multiplexed Testing of Antibiotics against Tuberculosis

XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB2018) (p. 279-282) - 2018

Editor: VISILAB

• ISBN 978-84-09-06253-9

• UC3M

PET Texture Analysis: Does it Have Clinical Significance in Locally Advanced Rectal Cancer?

XXXV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2017) (p. 403-406) - 2017

• UC3M

Accurate Lung Segmentation of Thorax CT Images on a Tuberculosis Infection Model

XXXV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2017) (p. 251-254) - 2017

• UC3M

Characterization of 3D network geometry in collagen hydrogels

V CNIC Conference “Mechanical Forces in Physiology and Disease - 2016

• UC3M

Atlas-based segmentation of brainstem regions in neuromelanin-sensitive magnetic resonance images

SPIE Medical Imaging, 2015 - 2015

Editor: SPIE- THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING

https://doi.org/10.1117/12.2080779 View at source

• ISBN 9781628415049

• UC3M

Quantification of pulmonary vessel diameter in low-dose CT images

SPIE Medical Imaging 2015 (p. 118) - 2015

Editor: SPIE- THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING

https://doi.org/10.1117/12.2081602 View at source

• ISBN 9781628415049

• UC3M

What Have We Learned from the Cell Tracking Challenge

SPAOM 2018: 2nd Spanish Portuguese Meeting for Advanced Optical Microscopy: 4th REMOA Conference (p. 103-103) - 2018

• UC3M

Deep Learning Applications to BioImage Analysis

SPAOM 2018: 2nd Spanish Portuguese Meeting for Advanced Optical Microscopy: 4th REMOA Conference (p. 108-108) - 2018

• UC3M

Search for temporal cell segmentation robustness in phase-contrast microscopy videos

Medical Imaging with Deep Learning (MIDL 2022) (p. 1-3) - 2022

• UC3M

Detecting airway remodeling in COPD and emphysema using low-dose CT imaging

Medical Imaging 2012: Computer-Aided Diagnosis - 2012

Editor: The International Society for Optical (SPIE)

https://doi.org/10.1117/12.910901 View at source

• ISBN 9780819489647

• UC3M

Computer-Aided Assessment of Tuberculosis with Radiological Imaging: From rule-based methods to Deep Learning

Reading date: 06-05-2022

• UC3M

Insights to the characterization of cell motility and intercellular communication through a bioimage analysis perspective

Reading date: 28-09-2021

• UC3M