Melih Kandemir
Melih Kandemir
Research Scientist, Bosch Center for AI
Verified email at bosch.com - Homepage
TitleCited byYear
Automatic segmentation of colon glands using object-graphs
C Gunduz-Demir, M Kandemir, AB Tosun, C Sokmensuer
Medical image analysis 14 (1), 1-12, 2010
1222010
Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection
AB Tosun, M Kandemir, C Sokmensuer, C Gunduz-Demir
Pattern Recognition 42 (6), 1104-1112, 2009
872009
An augmented reality interface to contextual information
A Ajanki, M Billinghurst, H Gamper, T Järvenpää, M Kandemir, S Kaski, ...
Virtual reality 15 (2-3), 161-173, 2011
672011
Computer-aided diagnosis from weak supervision: A benchmarking study
M Kandemir, FA Hamprecht
Computerized Medical Imaging and Graphics 42, 44-50, 2015
502015
Empowering multiple instance histopathology cancer diagnosis by cell graphs
M Kandemir, C Zhang, FA Hamprecht
International Conference on Medical Image Computing and Computer-Assisted …, 2014
402014
Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals
JP Kauppi, M Kandemir, VM Saarinen, L Hirvenkari, L Parkkonen, A Klami, ...
NeuroImage 112, 288-298, 2015
262015
Asymmetric transfer learning with deep gaussian processes
M Kandemir
International Conference on Machine Learning, 730-738, 2015
232015
Digital pathology: Multiple instance learning can detect Barrett's cancer
M Kandemir, A Feuchtinger, A Walch, FA Hamprecht
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 1348-1351, 2014
202014
Inferring object relevance from gaze in dynamic scenes
M Kandemir, VM Saarinen, S Kaski
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications …, 2010
162010
Multi-task and multi-view learning of user state
M Kandemir, A Vetek, M Goenen, A Klami, S Kaski
Neurocomputing 139, 97-106, 2014
132014
Instance Label Prediction by Dirichlet Process Multiple Instance Learning.
M Kandemir, FA Hamprecht
UAI, 380-389, 2014
132014
Learning relevance from natural eye movements in pervasive interfaces
M Kandemir, S Kaski
Proceedings of the 14th ACM international conference on Multimodal …, 2012
92012
Contextual information access with augmented reality
A Ajanki, M Billinghurst, T Järvenpää, M Kandemir, S Kaski, M Koskela, ...
2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010
92010
Variational bayesian multiple instance learning with gaussian processes
M Haußmann, FA Hamprecht, M Kandemir
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
72017
Multitask learning using regularized multiple kernel learning
M Gönen, M Kandemir, S Kaski
International Conference on Neural Information Processing, 500-509, 2011
72011
Cell event detection in phase-contrast microscopy sequences from few annotations
M Kandemir, C Wojek, FA Hamprecht
International Conference on Medical Image Computing and Computer-Assisted …, 2015
52015
Evidential deep learning to quantify classification uncertainty
M Sensoy, L Kaplan, M Kandemir
Advances in Neural Information Processing Systems, 3179-3189, 2018
42018
Gaussian process density counting from weak supervision
M von Borstel, M Kandemir, P Schmidt, MK Rao, K Rajamani, ...
European Conference on Computer Vision, 365-380, 2016
42016
Variational Weakly Supervised Gaussian Processes
M Kandemir, M Haussmann, F Diego, K Rajamani, J van der Laak, ...
British Machine Vision Conference, 2016
42016
Multiple instance learning with response-optimized random forests
C Straehle, M Kandemir, U Koethe, FA Hamprecht
2014 22nd International Conference on Pattern Recognition, 3768-3773, 2014
42014
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