IroLaina

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

Contact

Iro Laina

Iro Laina

  • Email: iro.laina[at]tum.de

  • Address:

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München

  • Phone: +49 89 289 17071

Teaching


Publications

2017
C. Rupprecht, I. Laina, R. DiPietro, M. Baust, F. Tombari, N. Navab, G. D. Hager
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 2017 (bib)
I. Laina, N. Rieke, C. Rupprecht, J. Page Vizcaino, A. Eslami, F. Tombari, N. Navab
Concurrent Segmentation and Localization for Tracking of Surgical Instruments
Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, September 2017.
A pre-print version is available online at arXiv.
The first two authors contribute equally to this paper.
(bib)
K. Tateno , F. Tombari, I. Laina, N. Navab
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, June, 2017.
The first two authors contribute equally to this paper.
(bib)
2016
I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, N. Navab
Deeper Depth Prediction with Fully Convolutional Residual Networks (Oral Presentation)
International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016.
The first two authors contribute equally to this paper.
(bib)

Research Projects

Depth Estimation from a single RGB Image

dp.png


Kooperationsprojekt SFB 824 (3. Förderperiode) & BFS

The goal of the BFS Project: ImmunoProfiling? using Neural Networks (IPN2) is to develop a method based on recent advances in Deep Learning to allow characterization of a patient's tumor as ″hot″ or ″cold″ depending on the identified ImmunoProfile?. Recent research has shown that many tumors are infiltrated by immunocompetent cells and that the amount, type and location of the infiltrated lymph nodes in primary tumors provide valuable prognostic information. In contrast to a ″cold tumor″, a ″hot tumor″ is characterized by an active immune system which the tumor has identified as threat. This identification provides the basis for selecting the therapy best suitable for the individual patient.

UsersForm
Title: M.Sc.
Circumference of your head (in cm):  
Firstname: Iro
Middlename:  
Lastname: Laina
Picture:  
Birthday:  
Nationality: Cosmopolitan
Languages:  
Groups: Computer Vision
Expertise:  
Position: Scientific Staff
Status: Active
Emailbefore: iro.laina
Emailafter: tum.de
Room: MI 03.13.041
Telephone:  
Alumniactivity:  
Defensedate:  
Thesistitle:  
Alumnihomepage:  
Personalvideo01:  
Personalvideotext01:  
Personalvideopreview01:  
Personalvideo02:  
Personalvideotext02:  
Personalvideopreview02:  


Edit | Attach | Refresh | Diffs | More | Revision r1.19 - 25 Sep 2017 - 11:15 - IroLaina

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif