J. Miguel Sanches Professor Biomedical Systems and Biosignals Bioengineering Department (DBE) Instituto Superior Técnico, Universidade de Lisboa Institute for Systems and Robotics

J. Sanches (JS) is Full Professor at the Department of Bioengineering (DBE) from the Instituto Superior Técnico, Univ. de Lisboa where he is coordinating the scientific area of Biomedical Systems and Biosignals and the Master and Doctoral programs in Biomedical Engineering. He is a senior researcher and deputy president for the scientific affairs of the Institute for Systems and Robotics (ISR) where his research  work has been focused on statistical signal and image processing of biomedical data in applications for diagnosis and follow-up in Cancer and Mental Health. JS published approximately 200 international publications (ORCID and Google Scholar) and he‘s senior member of the IEEE Engineering in Medicine and Biology Society (EMBS).

Research Interests

• Medical and biological signal and image processing
• Biological quantification from imaging
• Technological tools for diagnosis and follow-up in psychiatry


• OrcID,  Google Scholar, Scopus, ResearcherID (ABG-2684-2021), CiênciaVitae, Ciência Vitae (191C-E679-75D8)
  
  

Teaching

• Systems and Control in Bioengineering
• Principles of Biosignals and Biomedical Imaging
  
• Instrumentation and Acquisition of Biosignals

Selected publications

1. D. Ramalho, P. Constantino, H. P. D. Silva, M. Constante and J. Sanches, "An Augmented Teleconsultation Platform for Depressive Disorders," in IEEE Access, vol. 10, pp. 130563-130571, 2022, doi: 10.1109/ACCESS.2022.3228324.
   
   
2. Hemaxi Narotamo, Sofia Fernandes, Ana Margarida Moreira Soraia Melo, Raquel Seruca, Margarida Silveira and J. Miguel Sanches, A machine learning approach for single cell interphase cell cycle staging. Sci Rep 11, 19278 (2021). https://doi.org/10.1038/s41598-021-98489-5
   
   
3. Figueiredo J, Rodrigues I, Ribeiro J, Fernandes MS, Melo S, Sousa B, Paredes J, Seruca R, Sanches JM, Geometric compensation applied to image analysis of cell populations with morphological variability: a new role for a classical concept, Scientific Reports (Nature),  2018 Jul 6;8(1):10266. doi: 10.1038/s41598-018-28570-z.
   
   
4. Anabela Ferro, Tânia Mestre, Patrícia Carneiro, Ivan Sahumbaiev, Raquel Seruca and João M. Sanches,
   Blue intensity matters for cell cycle profiling in fluorescence DAPI-stained images, Laboratory Investigation (Nature), 6 March 2017. doi:10.1038/labinvest.2017.13.
   
   
5. Mestre T, Figueiredo J, Ribeiro AS, Paredes J, Seruca R and Sanches JM, Quantification of topological features in cell meshes to explore E-cadherin dysfunction, Scientific Reports (Nature). 2016 May 6;6:25101 , doi: 10.1038/srep25101.
   
   
6. Afonso, M.V.; Miguel Sanches, J., Blind Inpainting using L0 and Total Variation Regularization,
   Image Processing, IEEE Transactions on , Vol. 24, No. 7,  July 2015, doi: 10.1109/TIP.2015.2417505 (URL).
   
   
7. Domingues, A; Paiva, T.; Sanches, J.M., Hypnogram and Sleep Parameter Computation From Activity and Cardiovascular Data, Biomedical Engineering, IEEE Transactions on , vol.61, no.6, pp.1711,1719, June 2014, doi: 10.1109/TBME.2014.2301462.
   
   
8. Seabra, J.C.; Ciompi, F.; Pujol, O.; Mauri, J.; Radeva, P.; Sanches, J., Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound, Biomedical Engineering, IEEE Transactions on , vol.58, no.5, pp.1314-1324, May 2011.
   
   
9. Isabel Rodrigues and João Sanches, Convex Total Variation Denoising of Poisson Fluorescence Confocal Images with anisotropic filtering, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 1, JANUARY 2011.
   
   
10. Sanches, J. M.   Nascimento, J. C.Marques, J.S.,Medical Image Noise Reduction Using the Sylvester–Lyapunov Equation, IEEE Transactions on Image Processing, Volume: 17,  Issue: 9, pp.1522-1539, September. 2008.

Contacts

email: jmrs(at)tecnico.ulisboa.pt

Phone: +351 81 8418 195 (Ext: 2195)