• Hierarchical Detection Network

    Multi-object detection
  • Progressive Data Transmission

    Cloud Computing
  • Location Registration and Recognition

    Aligning CT nodule neighborhoods
  • Likelihood Ratio Vesselness

    Retinal Vessel Extraction
Michal Sofka  
Michal Sofka Range Data


Michal Sofka is an R&D Manager at Siemens Corporation, Corporate Research (SCCT), Princeton, NJ. His research focuses on multiple object detection and segmentation, machine learning for computer vision, and image analysis in the cloud computing environment. He is interested in building robust medical imaging applications of varying scales and complexity.
Prior to SCCT, Michal did his undergraduate work at the Czech Technical University. He received the MS degree in Electrical Engineering from Union College in 2001. He received the MS and PhD degrees in Computer Science from the Rensselaer Polytechnic Institute (RPI) in 2006 and 2008, respectively.

Download LRR C++ sources (MedIA 2010) which include 3D widely distributed and robust feature extraction, descriptor computation, registration, and recognition.

Progr. Data Trans. (MIM 2012)
Integrated Det. Network (ISBI 2011)
Lung Segment. (MICCAI 2011)
Multi-Object Detection (CVPR 2010)

2/15/2013 Airway segmentation paper accepted to IPMI 2013.
1/14/2013 Splice editing paper accepted to ISBI 2013.
12/11/2012 Organ segmentation work presented at Rutgers.
 

Copyright 2013 Michal Sofka