About usLearn more about MICLab
What does MICLAb mean?
MICLab stands for Medical Image and Computing Laboratory. We´re based at the State University of Campinas - UNICAMP´s Electrical Engineering and Computer Sciences Institute. The lab was created under the leadership of Roberto Lotufo and Letícia Rittner to be a focal point for the majority of the students under their supervision that work with Medical Imaging.
We´re studying the brain!
Our goal is to develop methods and algorithms to analyze medical images and data, such as Structural MRI, Diffusion-MRI and MR Spectroscopy. We participate in the Brazilian Institute of Neuroscience and Neurotechnology - BRAINN, a research project sponsored by FAPESP.
Collaborative environment
We are interested in the development of quantitative methods applied to the structures of the brain, together with their automatic or assisted identification and segmentation. Methods are developed under an open source philosophy, in collaborative web-based environment, aiming towards an interdisciplinary and translational research .
Our teamThis is our awesome team!
Letícia Rittner
Principal InvestigatorAssistant Professor at the School of Electrical and Computer Engineering, UNICAMP. Her main interests are Medical Imaging, Image Processing and Analysis, Image Segmentation and Pattern Recognition
Letícia Rittner
Principal Investigator Letícia Rittner graduated in electrical engineering (1994), earning MSc (2004) and PhD (2009) degrees from the University of Campinas, with a 6-month internship at the Montreal Neurological Institute, McGill University, Canada. She is an assistant professor at the School of Electrical and Computer Engineering, University of Campinas (Unicamp), Brazil. She was a postdoc at the School of Medicine at the University of Pennsylvania (2012). Her research feldd is Medical Image Processing and Analysis, focused particularly on Magnetic Resonance Imaging of the brain. She is part of the Brazilian Institute of Neuroscience and Neurotechnology - BRAINN (FAPESP-CEPID).
Roberto Lotufo
Principal InvestigatorProfessor at the School of Electrical and Computer Engineering, UNICAMP. Studies Image Processing and Analysis, Mathematical Morphology, Image Segmentation, Medical Imaging and Machine Learning.
Roberto Lotufo
Principal Investigator Roberto A. Lotufo received the B.S. degree from Instituto Tecnológico de Aeronautica, Brazil, in 1978, and the Ph.D. degree from the University of Bristol, U.K., in 1990, in Electrical Engineering. He is a full professor at the School of Electrical and Computer Engineering, University of Campinas (Unicamp), Brazil, were he has worked for since 1981. He was a visiting professor at University of Pennsylvania - USA (1992), McGill University - Canada (1994), University of New Mexico - USA (1996) and Paris School of Mines - France (2000). His principal research interests are in the areas of Image Processing and Analysis, Pattern Recognition and Machine Learning. Prof. Lotufo has published over 150 refereed international journal and full conference papers. He was awarded the Innovation Personality in 2008 and the Zeferino Vaz Academic Recognition in 2011 from University of Campinas. He is one of the principal investigator of the Brazilian Institute of Neuroscience and Neurotechnology - BRAINN (FAPESP-CEPID). Publication lists:
<ul>
<li><a href="http://scholar.google.com.br/citations?user=IQt4hvoAAAAJ">Google Citation</a></li>
<li><a href="http://www.researcherid.com/rid/C-1496-2009">Research Id</a></li>
<li><a href="http://www.researchgate.net/profile/Roberto_Lotufo/">Research Gate</a></li>
<li><a href="http://www.unicamp.br/sipex/CurriculoPesquisador/curriculo.html?id=1036">Sipex</a> - Unicamp curriculum (in Portuguese)</li>
<li><a href="http://lattes.cnpq.br/9224426261471914">Lattes Curriculum</a> - CNPq curriculum (in Portuguese)</li>
</ul>
StudentsMICLab students
Bernardo Salvador Grael
Scientific Initiation StudentUndergraduate student working on low-cost hyperspectral image device.
Bernardo Salvador Grael
Scientific Initiation Student Undergraduate student working on low-cost hyperspectral image device. His principal interests are:
<ul>
<li>Hyperspectral Imaging</li>
<li>Low-cost device</li>
<li>Skin lesion analysis</li>
<li>Lupus Eritemathosus Systemic (LES)</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><strong><a href="http://lattes.cnpq.br/9305677862002975">Lattes</a></strong></li>
</ul>
Renata Prôa
Scientific Initiation StudentUndergraduate student working on low-cost hyperspectral image device.
Renata Prôa
Scientific Initiation Student Undergraduate student working on low-cost hyperspectral image device. Her principal interests are:
<ul>
<li>Mathematical Modeling</li>
<li>Deep Learning</li>
<li>Medical Imaging</li>
<li>Neuroscience</li>
</ul>
Irene Fantini
Collaborator Ph.D in analysis of MRI quality using deep learning. Her principal interests are:
<ul>
<li>Magnetic Resonance Imaging reconstruction</li>
<li>Magnetic Resonance Image quality</li>
<li>Machine Learning</li>
<li>Deep Learning</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://www.researchgate.net/profile/Irene_Fantini"><strong>Research Gate</strong></a></li>
<li><strong><a href="http://lattes.cnpq.br/6676235701628232">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/irene-fantini-0a87b0">LinkedIn</a></strong></li>
</ul>
Mariana Pinheiro
CollaboratorPost-doc in University of Calgary working on Medical Imaging Processing to analyze brain abnormalities on MR images.
Mariana Pinheiro
Collaborator Post-doc in University of Calgary working on Medical Imaging Processing to analyze brain abnormalities on MR images. Her principal interests are:
<ul>
<li>Magnetic Resonance Imaging</li>
<li>Brain abnormalities</li>
<li>Texture Analysis</li>
<li>Medical Image Classification</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://www.researchgate.net/profile/Mariana_Bento2"><strong>Research Gate</strong></a></li>
<li><strong><a href="http://lattes.cnpq.br/3166488236335695">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/mariana-bento-b7a75010b">LinkedIn</a></strong></li>
</ul>
Roberto Souza
CollaboratorUniversity of Calgary Assistant Professor working on dynamic MR reconstruction.
Roberto Souza
Collaborator University of Calgary Assistant Professor working on dynamic MR reconstruction. His principal interests are:
<ul>
<li>Skull-stripping</li>
<li>Carotid imaging</li>
<li>Public databases</li>
<li>Machine learning</li>
<li>Deep learning</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://www.researchgate.net/profile/Roberto_Souza4"><strong>Research Gate</strong></a></li>
<li><strong><a href="http://lattes.cnpq.br/0692029921953122">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/roberto-souza-b0802661">LinkedIn</a></strong></li>
</ul>
Nathan Shen Baldon
SCIENTIFIC INITIATION STUDENTUndergraduate student working on skin lesion analysis using multispectral images captured by a low-cost device.
Nathan Shen Baldon
SCIENTIFIC INITIATION STUDENT Undergraduate student working on skin lesion analysis using multispectral images captured by a low-cost device. His main interests are: - Medical Imaging
- Multispectral Imaging
- Image Processing
<h3><strong>Profiles:</strong></h3>
<ul>
<li><strong><a href="http://lattes.cnpq.br/0891465479118771">Lattes</a></strong></li>
</ul>
Caio Pinheiro Santana
PHD CANDIDATE <div>Ph.D. candidate working on Brain Diffusion MRI Processing. His principal interests are:</div>
<div>- Medical Imaging</div>
<div>- Diffusion MRI</div>
<div>- Image Processing</div>
<div>- Deep Learning</div>
<div></div>
<div></div>
<div>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://www.researchgate.net/profile/Caio-Santana-3"><strong>Research Gate</strong></a></li>
<li><strong><a href="http://lattes.cnpq.br/6045750620219171">Lattes</a></strong></li>
</ul>
</div>
Thays Abreu
Post-doc Post-doc at Unicamp working in Medical Data Quality Control. Her principal interest are:
<ul>
<li>Magnetic Resonance Image quality</li>
<li>Magnetic Resonance Spectroscopy quality</li>
<li>Pattern Recognition</li>
<li>Outlier identification techniques</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><strong><a href="https://lattes.cnpq.br/1515712838582606">Lattes</a></strong></li>
<li><strong><a href="https://linkedin.com/in/thays-abreu-121508115">LinkedIn</a></strong></li>
</ul>
Mateus Oliveira da Silva
MSC CANDIDATEM.Sc. candidate working on Diffusion Magnetic Resonance Images using Deep Learning.
Mateus Oliveira da Silva
MSC CANDIDATE <span style="font-weight: 400;">M.Sc. candidate working on Magnetic Resonance Spectroscopy signal processing using Deep Learning. His principal interests are:</span>
<ul>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Deep Learning</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Diffusion Magnetic Resonance Images</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Image Processing</span></li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><strong><a href="http://lattes.cnpq.br/3432259259370525">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/mateus-eng/">LinkedIn</a></strong></li>
</ul>
Danilo Pereira
PhD Candidate Ph.D. candidate working on Multi-voxel Spectroscopic Imaging (MRSI). His principal interests are:
<ul>
<li>Magnetic Resonance Spectroscopy (MRS)</li>
<li>Image Registration</li>
<li>Medical Imaging</li>
<li>Image Processing</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><strong><a href="http://lattes.cnpq.br/0492144789074887">Lattes</a></strong></li>
</ul>
Gabriel Santos Martins Dias
M.Sc. candidateM.Sc. candidate working on Magnetic Resonance Spectroscopy signal processing using Deep Learning.
Gabriel Santos Martins Dias
M.Sc. candidate <span style="font-weight: 400;">M.Sc. candidate working on Magnetic Resonance Spectroscopy signal processing using Deep Learning. His principal interests are:</span>
<ul>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Magnetic Resonance Spectroscopy</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Deep Learning</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Medical Imaging</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Signal Processing</span></li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><strong><a href="http://lattes.cnpq.br/0576036812532468">Lattes</a></strong></li>
<li><strong><a href="http://www.linkedin.com/in/gabriel-dias-1a3827139">LinkedIn</a></strong></li>
</ul>
Diedre Carmo
PhD CandidatePh.D. candidate working on Brain Tumor and Structure Segmentation using Deep Learning.
Diedre Carmo
PhD Candidate Ph.D. candidate working on Brain Tumor and Structure Segmentation using Deep Learning. His principal interests are:
<ul>
<li>Computer Vision</li>
<li>Deep Learning</li>
<li>Medical Imaging</li>
<li>Image Segmentation and Classification</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://www.researchgate.net/profile/Diedre_Carmo"><strong>Research Gate</strong></a></li>
<li><strong><a href="http://lattes.cnpq.br/6252748421778841">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/diedre-carmo-4490572b/">LinkedIn</a></strong></li>
</ul>
JIMI TOGNI
PHD STUDENTPh.D. student working on Automated Brain White Matter Lesion Detection using Deep Convolutional Neural Networks
JIMI TOGNI
PHD STUDENT Ph.D. student working on Automated Brain White Matter Lesion Detection using Deep Convolutional Neural Networks. His principal interests are:
<ul>
<li>Computer Vision</li>
<li>Deep Convolutional Neural Networks</li>
<li>Medical Imaging</li>
<li>Image Segmentation and Classification</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://scholar.google.com/citations?user=LNmtR4sAAAAJ&hl=pt-BR"><strong>Google Scholar</strong></a></li>
<li><strong><a href="http://lattes.cnpq.br/6673135275840128">Lattes</a></strong></li>
</ul>
Gustavo Retuci Pinheiro
PhD CandidatePh.D. candidate working on Diffusion Tensor Imaging Processing.
Gustavo Retuci Pinheiro
PhD Candidate Ph.D. candidate working on Diffusion Tensor Imaging Processing. His principal interests are:
<ul>
<li>Medical Imaging</li>
<li>DTI</li>
<li>DWI</li>
<li>Image Processing</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://www.researchgate.net/profile/Gustavo_Retuci_Pinheiro"><strong>Research Gate</strong></a></li>
<li><strong><a href="http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4300970Y1">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/gustavo-pinheiro-814a7b10b">LinkedIn</a></strong></li>
</ul>
Jean Antonio Ribeiro
PhD CandidatePh.D. candidate working on Segmentation of Lung Lobes using Deep Learning.
Jean Antonio Ribeiro
PhD Candidate Ph.D. candidate working on Segmentation of Lung Lobes using Deep Learning. His principal interests are:
<ul>
<li>Algorithm Optimization</li>
<li>Computer Vision</li>
<li>Deep Learning</li>
<li>Medical Image Processing</li>
<li>Image Segmentation and Classification</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><strong><a href="http://lattes.cnpq.br/3365110652150024">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/jean-antonio-ribeiro-7b852231/">LinkedIn</a></strong></li>
</ul>
Lívia Rodrigues
PhD Candidate PhD candidate working with brain MR image segmentation using CNN's. Her principal interests are:
<ul>
<li>Medical Image Processing</li>
<li>Deep Learning</li>
<li>Machine Learning</li>
<li>Pattern Recognition</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><strong><a href="https://lattes.cnpq.br/1515712838582606">Lattes</a></strong></li>
<li><strong><a href="https://linkedin.com/in/thays-abreu-121508115">LinkedIn</a></strong></li>
</ul>
Beatriz Celante Vicente
MSc Candidate More information coming soon.
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://miclab.fee.unicamp.br/miclab-students#"><strong>Research Gate</strong></a></li>
<li><strong><a href="http://lattes.cnpq.br/6185381964199613">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/beatriz-celante-vicente-60709b13b//">LinkedIn</a></strong></li>
</ul>
Bruno Rangel B dos Santos
MSc Candidate M.Sc. candidate. His principal interests are:
<ul>
<li>Medical Image Processing</li>
<li>Machine Learning</li>
<li>Ultrasound Imaging</li>
<li>Pattern Recognition</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://miclab.fee.unicamp.br/miclab-students#"><strong>Research Gate</strong></a></li>
<li><strong><a href="http://lattes.cnpq.br/1604748680989808">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/bruno-rangel-b-dos-santos-65a549156">LinkedIn</a></strong></li>
</ul>
Joany do Socorro Santa Rosa Rodrigues
MSc CandidateM.Sc. candidate working on DTI-based Corpus Callosum segmentation.
Joany do Socorro Santa Rosa Rodrigues
MSc Candidate M.Sc. candidate working on DTI-based Corpus Callosum segmentation. Her principal interests are:
<ul>
<li>Magnetic Resonance Imaging (MRI)</li>
<li>Image segmentation</li>
<li>Corpus Callosum</li>
<li>Deep Learning</li>
</ul>
<h3><strong>Profiles:</strong></h3>
<ul>
<li><a href="https://miclab.fee.unicamp.br/miclab-students#"><strong>Research Gate</strong></a></li>
<li><strong><a href="http://lattes.cnpq.br/92651730720909085">Lattes</a></strong></li>
<li><strong><a href="https://www.linkedin.com/in/joany-do-socorro-santa-rosa-rodrigues-438159166/">LinkedIn</a></strong></li>
</ul>
About usLearn more about MICLab
What does MICLAb mean?
MICLab stands for Medical Image and Computing Laboratory. We´re based at the State University of Campinas - UNICAMP´s Electrical Engineering and Computer Sciences Institute. The lab was created under the leadership of Roberto Lotufo and Letícia Rittner to be a focal point for the majority of the students under their supervision that work with Medical Imaging.
We´re studying the brain!
Our goal is to develop methods and algorithms to analyze medical images and data, such as Structural MRI, Diffusion-MRI and MR Spectroscopy. We participate in the Brazilian Institute of Neuroscience and Neurotechnology - BRAINN, a research project sponsored by FAPESP.
Collaborative environment
We are interested in the development of quantitative methods applied to the structures of the brain, together with their automatic or assisted identification and segmentation. Methods are developed under an open source philosophy, in collaborative web-based environment, aiming towards an interdisciplinary and translational research .