Martin Rozycki

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 6

Top Topics

Survival Prediction

Magnetic Resonance Imaging

Machine Learning Algorithms

Medical Imaging

Top Venues

Medical Imaging: Image-Guided Procedures

BrainLes@MICCAI

Brainles@MICCAI

Publications

Spyridon Bakas, Gaurav Shukla, Hamed Akbari, Güray Erus, Aristeidis Sotiras, Saima Rathore, Chiharu Sako, Sung Min Ha, Martin Rozycki, Ashish Singh, Russell T. Shinohara, Michel Bilello, Christos Davatzikos
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. Medical Imaging: Image-Guided Procedures (2020)
Saima Rathore, Spyridon Bakas, Hamed Akbari, Gaurav Shukla, Martin Rozycki, Christos Davatzikos
Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniques. Medical Imaging: Computer-Aided Diagnosis (2018)
Saima Rathore, Hamed Akbari, Jimit Doshi, Gaurav Shukla, Martin Rozycki, Michel Bilello, Robert Lustig, Christos Davatzikos
Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma. Medical Imaging: Image-Guided Procedures (2018)
Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR (2018)
Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan, Martin Rozycki, Mark Bergman, Birkan Tunç, Ragini Verma, Michel Bilello, Christos Davatzikos
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma. BrainLes@MICCAI (2017)
Ke Zeng, Spyridon Bakas, Aristeidis Sotiras, Hamed Akbari, Martin Rozycki, Saima Rathore, Sarthak Pati, Christos Davatzikos
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework. BrainLes@MICCAI (2016)
Spyridon Bakas, Ke Zeng, Aristeidis Sotiras, Saima Rathore, Hamed Akbari, Bilwaj Gaonkar, Martin Rozycki, Sarthak Pati, Christos Davatzikos
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation. Brainles@MICCAI (2015)