Peter Rogelj

发表

TEXTURE FEATURE BASED IMAGE REGISTRATION

Stanislav Kovacic, Andreja Jarc, Peter Rogelj, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Informing Costumers via Interactive Shelves

Peter Rogelj, 2015, INTERACT.

ssessment of 3 D DCE-MRI of the kidneys using non-rigid image registration nd segmentation of voxel time courses rank

Arvid Lundervold, María J. Ledesma-Carbayo, Andrés Santos, 2009 .

Correction to: Image registration in dynamic renal MRI—current status and prospects

Frank G. Zöllner, Peter Rogelj, Andrzej Materka, 2020, Magnetic Resonance Materials in Physics, Biology and Medicine.

Image registration in dynamic renal MRI—current status and prospects

Frank G. Zöllner, Peter Rogelj, Andrzej Materka, 2019, Magnetic Resonance Materials in Physics, Biology and Medicine.

A spatial modelling technique using principal component analysis

Peter Rogelj, Muhamed Barakovic, 2014 .

Similarity measures for nonrigid registration

Stanislav Kovacic, Peter Rogelj, S. Kovacic, 2001, SPIE Medical Imaging.

Predictive monitoring of production line efficiency

Gašper Mušič, Peter Rogelj, Boštjan Hauptman, 2013 .

Validation of a non-rigid registration algorithm for multi-modal data

James C. Gee, Stanislav Kovacic, Peter Rogelj, 2002 .

Distance deviation measure of contouring variability

Robert Hudej, Peter Rogelj, Primoz Petric, 2013, Radiology and oncology.

Point similarity measures for non-rigid registration of multi-modal data

James C. Gee, Stanislav Kovacic, Peter Rogelj, 2003, Comput. Vis. Image Underst..

Spatial deformation models for non-rigid image registration

Stanislav Kovacic, Peter Rogelj, 2004 .

Point Similarity Measure Based on Mutual Information

Stanislav Kovacic, Peter Rogelj, S. Kovacic, 2003, WBIR.

Image Registration Based on Point Similarity Measures

Peter Rogelj, 2010 .

Symmetric image registration

Stanislav Kovacic, Peter Rogelj, S. Kovacic, 2003, SPIE Medical Imaging.

Symmetric image registration

Stanislav Kovacic, Peter Rogelj, 2006, Medical Image Anal..

Non-Rigid Registration of Multi-Modality Images

Peter Rogelj, Peter Rogelj, 2003 .

Validation of a nonrigid registration algorithm for multimodal data

James C. Gee, Stanislav Kovacic, Peter Rogelj, 2002, SPIE Medical Imaging.

Comparison of mutual information and its point similarity implementation for image registration

Peter Rogelj, Wassim El Hajj Chehade, Peter Rogelj, 2021, International Journal of Electrical and Computer Engineering (IJECE).

Generation of Oscillatory Synthetic Signal Simulating Brain Network Dynamics

Sasa Vlahinic, Peter Rogelj, Zoran Sverko, 2021, 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO).

Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects

Arvid Lundervold, Andrzej Materka, Frank G. Zöllner, 2021, IEEE Access.

Multi-Modality Non-rigid Image Registration Using Local Similarity Estimations

Peter Rogelj, Wassim El Hajj Chehade, 2021, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

715 poster INTEROBSERVER VARIATION IN MRI AND CT BASED CONTOURING FOR PROSTATE CANCER

Peter Rogelj, Barbara Segedin, J. But Hadzic, 2011 .

Comparison of 3D MRI with high sampling efficiency and 2D multiplanar MRI for contouring in cervix cancer brachytherapy

Robert Hudej, Peter Rogelj, Primoz Petric, 2012, Radiology and oncology.

3D T2-weighted fast recovery fast spin echo sequence MRI for target contouring in cervix cancer brachytherapy

Robert Hudej, Peter Rogelj, Primoz Petric, 2008 .

EFFICIENT SAMPLING FOR THE EVALUATION PROTOCOL FOR 2-D RIGID REGISTRATION

Andreja Jarc, Peter Rogelj, Peter Rogelj, 2009 .

Similarity measures for non-rigid registration

Stanislav Kovacic, Peter Rogelj, 2001 .

Texture features for affine registration of thermal (FLIR) and visible images

Andreja Jarc, Peter Rogelj, Stanislav Kova, 2007 .

Local similarity measures for multimodal image matching

Stanislav Kovacic, Peter Rogelj, 2000, IWISPA 2000. Proceedings of the First International Workshop on Image and Signal Processing and Analysis. in conjunction with 22nd International Conference on Information Technology Interfaces. (IEEE.

Uncertainties of target volume delineation in MRI guided adaptive brachytherapy of cervix cancer: a multi-institutional study.

Christian Kirisits, Daniel Berger, Richard Pötter, 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Analysis of texture features for registration of DRR and EPI images

Stanislav Kovacic, Andreja Jarc, Peter Rogelj, 2007 .