Rezultati - Martin Rozycki

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  1. 1
    Use of machine learning techniques in the development and refinement of a predictive model for early diagnosis of ankylosing spondylitis

    Use of machine learning techniques in the development and refinement of a predictive model for early diagnosis of ankylosing spondylitis od Atul Deodhar, Martin Rozycki, Cody Garges, Oodaye B. Shukla, Theresa Arndt, Tara Grabowsky, Yujin Park

    Izdano 2019
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  2. 2
    Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework

    Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework od Ke Zeng, Spyridon Bakas, Aristeidis Sotiras, Hamed Akbari, Martin Rozycki, Saima Rathore, Sarthak Pati, Christos Davatzikos

    Izdano 2016
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  3. 3
    Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

    Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features od Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin Kirby, John Freymann, Keyvan Farahani, Christos Davatzikos

    Izdano 2017
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  4. 4
    <i>In Vivo</i> Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The <i>ϕ</i>-Index

    <i>In Vivo</i> Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The <i>ϕ</i>-Index od Spyridon Bakas, Hamed Akbari, Jared Pisapia, Maria Martinez‐Lage, Martin Rozycki, Saima Rathore, Nadia Dahmane, Donald M. O’Rourke, Christos Davatzikos

    Izdano 2017
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  5. 5
    Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

    Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma od Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan, Martin Rozycki, Mark Bergman, Birkan Tunç, Ragini Verma, Michel Bilello, Christos Davatzikos

    Izdano 2018
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  6. 6
    Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities

    Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalitie... od Spyridon Bakas, Gaurav Shukla, Hamed Akbari, Güray Erus, Aristeidis Sotiras, Saima Rathore, Chiharu Sako, Sung Min Ha, Martin Rozycki, Russell T. Shinohara, Michel Bilello, Christos Davatzikos

    Izdano 2020
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  7. 7
    <i>In vivo</i>evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature

    <i>In vivo</i>evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature od Hamed Akbari, Spyridon Bakas, Jared Pisapia, MacLean P. Nasrallah, Martin Rozycki, Maria Martinez‐Lage, Jennifer J.D. Morrissette, Nadia Dahmane, Donald M. O’Rourke, Christos Davatzikos

    Izdano 2018
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  8. 8
    Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1

    Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1 od Saima Rathore, Hamed Akbari, Martin Rozycki, Kalil G. Abdullah, MacLean P. Nasrallah, Zev A. Binder, Ramana V. Davuluri, Robert A. Lustig, Nadia Dahmane, Michel Bilello, Donald M. O’Rourke, Christos Davatzikos

    Izdano 2018
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  9. 9
    Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals

    Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals od Martin Rozycki, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Güray Erus, Jimit Doshi, Daniel H. Wolf, Yong Fan, Raquel E. Gur, Ruben C. Gur, Eva Meisenzahl, Chuanjun Zhuo, Hong Yin, Hao Yan, Weihua Yue, Dai Zhang, Christos Davatzikos

    Izdano 2017
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  10. 10
    Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma

    Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma od Hamed Akbari, Saima Rathore, Spyridon Bakas, MacLean P. Nasrallah, Gaurav Shukla, Elizabeth Mamourian, Martin Rozycki, Stephen Bagley, Jeffrey D. Rudie, Adam E. Flanders, Adam P. Dicker, Arati Desai, Donald M. O’Rourke, Steven Brem, Robert A. Lustig, Suyash Mohan, Ronald L. Wolf, Michel Bilello, Maria Martinez‐Lage, Christos Davatzikos

    Izdano 2020
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  11. 11
    Memory, executive, and multidomain subtle cognitive impairment

    Memory, executive, and multidomain subtle cognitive impairment od Jon B. Toledo, Maria Bjerke, Kewei Chen, Martin Rozycki, Clifford R. Jack, Michael W. Weiner, Steven E. Arnold, Eric M. Reiman, Christos Davatzikos, Leslie M. Shaw, John Q. Trojanowski, Michael W. Weiner, Paul Aisen, Michael W. Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William J. Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew J. Saykin, John C. Morris, Enchi Liu, Robert C. Green, Tom Montine, Ronald Petersen, Paul Aisen, Anthony Gamst, Ronald G. Thomas, Michael Donohue, Sarah Walter, Devon Gessert, Tamie Sather, Laurel Beckett, Danielle Harvey, Anthony Gamst, Michael Donohue, John Kornak, Clifford R. Jack, Anders M. Dale, Matt A. Bernstein, Joel P. Felmlee, Nick C. Fox, Paul M. Thompson, Norbert Schuff, Gene E. Alexander, Charles DeCarli, William J. Jagust, Dan Bandy, Robert A. Koeppe, Norm Foster, Eric M. Reiman, Kewei Chen, Chester A. Mathis, John C. Morris, Nigel J. Cairns, Lisa Taylor‐Reinwald, John Q. Trojanowki, Les Shaw, Virginia M.‐Y. Lee, Magdalena Korecka, Arthur W. Toga, Karen Crawford, Scott Neu, Andrew J. Saykin, Tatiana Foroud, Steven Potkin, Li Shen, Zaven Kachaturian, Richard Frank, Peter J. Snyder, Susan Molchan, Jeffrey Kaye, Joseph Quinn, Betty Lind, Sara Dolen, Lon S. Schneider, Sonia Pawluczyk, Bryan M. Spann, James Brewer, Helen Vanderswag, Judith L. Heidebrink, Joanne Lord, Ronald Petersen, Kris Johnson, Rachelle S. Doody, Javier Villanueva-Meyer, Munir Chowdhury, Yaakov Stern, Lawrence S. Honig, Karen L. Bell, John C. Morris, Beau M. Ances, Sue Leon, Stacy Schneider, Daniel Marson, Randall Griffith, David Clark

    Izdano 2015
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