DhritimanDas

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Dhritiman Das

Former Scientific staff and doctoral candidate at the Image-Based Biomedical Modeling Group and GE Global Research.

Update: I am now a postdoctoral research associate at the Massachusetts Institute of Technology working at the McGovern Institute for Brain Research. I continue to work with Image-Based Biomedical Modeling Group as a visiting scientist.

My work focuses on machine learning architecture development towards brain imaging research, bayesian neural networks, signal processing and distributed learning infrastructures with an emphasis on computational neuroscience and open research.

Contact

  • Technical University of Munich
    Fakultät für Informatik
    Germany

  • Office : IMETUM, Technical University of Munich

  • Email :

Research Interests

  • Machine learning : Bayesian Neural Networks, Generative Models, Federated Learning.
  • Image processing, computer vision : Denoising methods, super-resolution, optical flow
  • Applications : Neuroimaging, Computational Neuroscience, MR Spectroscopic Imaging, Cardio-Vascular flow .

Teaching & Student Projects

*Projects* are available on machine learning applications to MR Spectroscopic Imaging - classification, parameter estimation and denoising of spectral data.

Feel free to contact me for further information or if you have your own project ideas!

Publications

2019
Berkay Kanberoglu, D. Das, Priya Nair, Pavan Turaga, David Frakes
An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation
International Journal of Biomedical Imaging, vol. 2019, Article ID 9435163, 14 pages, 2019. (bib)
C. Ulas, D. Das, M.J. Thrippleton, M. del C. Valdes Hernandez, P.A. Armitage, S.D. Makin, J.M. Wardlaw, B. Menze
Convolutional Neural Networks for Direct Inference of Pharmacokinetic Parameters: Application to Stroke Dynamic Contrast-Enhanced MRI
Frontiers in Neurology, 9:1147 (bib)
2018
D. Das, M.E. Davies, Jeremy Chataway, Siddharthan Chandran, B. Menze, I. Marshall
Metabolite Quantification of 1H-MRSI spectra in Multiple Sclerosis: A Machine Learning Approach
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Paris, France, June 2018. (bib)
D. Das, E. Coello, A. Sekuboyina, R. Schulte, B. Menze
Direct Estimation of Model Parameters in MR Spectroscopic Imaging using Deep Neural Networks
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Paris, France, June 2018. (bib)
D. Das, M.J. Thrippleton, M.E. Davies, R. Schulte, B. Menze, I. Marshall
MRSI Brain Temperature Mapping Using Machine Learning
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Paris, France, June 2018. (bib)
2017
D. Das, E. Coello, R. Schulte, B. Menze
Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging using Machine Learning
Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, September 2017. (bib)
2016
D. Das, E. Coello, R. Schulte, B. Menze
Spectral Denoising for MR Spectroscopic Imaging using Non-Local Means
Proceedings of the ISMRM Workshop on MR Spectroscopy, Lake Constance, Germany, August 2016 (bib)
D. Das, E. Coello, R. Schulte, B. Menze
Spatially Adaptive Spectral Denoising for MR Spectroscopic Imaging using Frequency-Phase Non-Local Means
Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)


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Title: M.Sc.
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Firstname: Dhritiman
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Lastname: Das
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Birthday: 25.07.1989
Nationality: India
Languages: English
Groups: Medical Imaging, Computer Vision, Machine Learning for Medical Applications, Image-Based Biomedical Modeling
Expertise: Medical Imaging, Computer Vision
Position: Scientific Staff
Status: Active
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Emailafter: tum.de
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