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1. Effect of Intensive vs Standard Blood Pressure Control on Probable Dementia: A Randomized Clinical Trial
by Williamson, Jeff D and Pajewski, Nicholas M and Auchus, Alexander P and Bryan, R. Nick and Chelune, Gordon and Cheung, Alfred K and Cleveland, Maryjo L and Coker, Laura H and Crowe, Michael G and Cushman, William C and Cutler, Jeffrey A and Davatzikos, Christos and Desiderio, Lisa and Erus, Guray and Fine, Larry J and Gaussoin, Sarah A and Harris, Darrin and Hsieh, Meng-Kang and Johnson, Karen C and Kimmel, Paul L and Tamura, Manjula Kurella and Launer, Lenore J and Lerner, Alan J and Lewis, Cora E and Martindale-Adams, Jennifer and Moy, Claudia S and Nasrallah, Ilya M and Nichols, Linda O and Oparil, Suzanne and Ogrocki, Paula K and Rahman, Mahboob and Rapp, Stephen R and Reboussin, David M and Rocco, Michael V and Sachs, Bonnie C and Sink, Kaycee M and Still, Carolyn H and Supiano, Mark A and Snyder, Joni K and Wadley, Virginia G and Walker, Jennifer and Weiner, Daniel E and Whelton, Paul K and Wilson, Valerie M and Woolard, Nancy and Wright, Jackson T and Wright, Clinton B and SPRINT MIND Investigators SPRINT and SPRINT MIND Investigators for the SPRINT Research Group
JAMA : the journal of the American Medical Association, ISSN 0098-7484, 02/2019, Volume 321, Issue 6, pp. 553 - 561
Medicine, General & Internal | Life Sciences & Biomedicine | General & Internal Medicine | Science & Technology | Follow-Up Studies | Cardiovascular Diseases - prevention & control | Humans | Middle Aged | Proportional Hazards Models | Hypertension - drug therapy | Male | Antihypertensive Agents - therapeutic use | Cognitive Dysfunction - prevention & control | Aged, 80 and over | Female | Aged | Blood Pressure - drug effects | Dementia - prevention & control | Hypertension | Stroke | Pressure effects | Diabetes mellitus | Cognitive ability | Impairment | Clinical trials | Risk reduction | Dementia disorders | Blood pressure | Adults | Risk management | Cardiovascular diseases | Health risk assessment | Mercury | Dementia
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2. Full Text Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations
by Gastounioti, Aimilia and Oustimov, Andrew and Keller, Brad M and Pantalone, Lauren and Hsieh, Meng-Kang and Conant, Emily F and Kontos, Despina
Medical physics (Lancaster), ISSN 0094-2405, 11/2016, Volume 43, Issue 11, pp. 5862 - 5877
Density measurement | mammography | breast density | Analysis of texture | Medical image segmentation | biological tissues | Biological material, e.g. blood, urine; Haemocytometers | Calibration | image texture | Digital image processing | Digital computing or data processing equipment or methods, specially adapted for specific applications | Image analysis | physiological models | Medical X‐ray imaging | feature extraction | Image data processing or generation, in general | image representation | cancer | Methods or arrangements for processing data by operating upon the order or content of the data handled | statistical analysis | digital mammography | medical image processing | parenchymal texture | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Mass Screening | Image Processing, Computer-Assisted | Breast - cytology | Humans | Middle Aged | Adolescent | Adult | Female | Breast Density | Mammography | Breast - pathology | Index Medicus | QUANTITATIVE IMAGING AND IMAGE PROCESSING
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3. Full Text Fully automatic quantification of fibroglandular tissue and background parenchymal enhancement with accurate implementation for axial and sagittal breast MRI protocols
by Wei, Dong and Jahani, Nariman and Cohen, Eric and Weinstein, Susan and Hsieh, Meng‐Kang and Pantalone, Lauren and Kontos, Despina
Medical physics (Lancaster), ISSN 0094-2405, 01/2021, Volume 48, Issue 1, pp. 238 - 252
breast MRI | background parenchymal enhancement | dynamic contrast enhanced MRI | breast density | fibroglandular tissue | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Index Medicus
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4. Full Text Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy
by Ou, Yangming and Weinstein, Susan P and Conant, Emily F and Englander, Sarah and Da, Xiao and Gaonkar, Bilwaj and Hsieh, Meng‐Kang and Rosen, Mark and DeMichele, Angela and Davatzikos, Christos and Kontos, Despina
Magnetic resonance in medicine, ISSN 0740-3194, 06/2015, Volume 73, Issue 6, pp. 2343 - 2356
longitudinal breast MRI | tumor changes | evaluation | treatment | deformable image registration | breast cancer | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Cyclophosphamide - administration & dosage | Humans | Magnetic Resonance Imaging - methods | Treatment Outcome | Breast Neoplasms - drug therapy | Taxoids - administration & dosage | Contrast Media | Antineoplastic Combined Chemotherapy Protocols - therapeutic use | Breast Neoplasms - pathology | Female | Neoadjuvant Therapy | Retrospective Studies | Anatomic Landmarks | Doxorubicin - administration & dosage | Gadolinium DTPA | Algorithms | Analysis | Adjuvant treatment | Tumors | Cancer | Index Medicus
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5. Full Text Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer Risk
by Gastounioti, Aimilia and Oustimov, Andrew and Hsieh, Meng-Kang and Pantalone, Lauren and Conant, Emily F and Kontos, Despina
Academic radiology, ISSN 1076-6332, 08/2018, Volume 25, Issue 8, pp. 977 - 984
Digital mammography | breast cancer risk | convolutional neural network | parenchymal texture | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Neural Networks, Computer | Area Under Curve | Humans | Breast - diagnostic imaging | Adult | Female | ROC Curve | Mammography | Retrospective Studies | Breast Neoplasms - diagnostic imaging | Case-Control Studies | Parenchymal Tissue - diagnostic imaging | Evaluation | Medical colleges | Usage | Neural networks | Breast cancer | Risk factors | Index Medicus | digital mammography
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6. Full Text Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration
by Jahani, Nariman and Cohen, Eric and Hsieh, Meng-Kang and Weinstein, Susan P and Pantalone, Lauren and Hylton, Nola and Newitt, David and Davatzikos, Christos and Kontos, Despina
Scientific reports, ISSN 2045-2322, 08/2019, Volume 9, Issue 1, pp. 12114 - 12
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Acetylcysteine | Chemotherapy | Breast cancer | Magnetic resonance imaging | Index Medicus
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7. Full Text Incorporating Breast Anatomy in Computational Phenotyping of Mammographic Parenchymal Patterns for Breast Cancer Risk Estimation
by Gastounioti, Aimilia and Hsieh, Meng-Kang and Cohen, Eric and Pantalone, Lauren and Conant, Emily F and Kontos, Despina
Scientific reports, ISSN 2045-2322, 12/2018, Volume 8, Issue 1, pp. 17489 - 10
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Breast - anatomy & histology | Humans | Risk Factors | Female | Mammography | Retrospective Studies | Breast - pathology | Case-Control Studies | Breast Neoplasms - epidemiology | Risk assessment | Computer applications | Phenotyping | Hormone replacement therapy | Breast cancer | Anatomy | Health risk assessment | Index Medicus
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8. Full Text 18F-flortaucipir PET/MRI correlations in nonamnestic and amnestic variants of Alzheimer disease
by Nasrallah, Ilya M and Chen, Yin Jie and Hsieh, Meng-Kang and Phillips, Jeffrey S and Ternes, Kylie and Stockbower, Grace E and Sheline, Yvette and McMillan, Corey T and Grossman, Murray and Wolk, David A
Journal of Nuclear Medicine, ISSN 0161-5505, 02/2018, Volume 59, Issue 2, pp. 299 - 306
18F-flortaucipir PET | Struc tural MRI | Alzheimer disease | Tau PET | Index Medicus | Neurology | structural MRI | tau PET
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9. Full Text Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods
by Eavani, Harini and Habes, Mohamad and Satterthwaite, Theodore D and An, Yang and Hsieh, Meng-Kang and Honnorat, Nicolas and Erus, Guray and Doshi, Jimit and Ferrucci, Luigi and Beason-Held, Lori L and Resnick, Susan M and Davatzikos, Christos
Neurobiology of aging, ISSN 0197-4580, 11/2018, Volume 71, pp. 41 - 50
Functional connectivity | Heterogeneity brain aging | Structural MRI | Resting-state fMRI | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Geriatrics & Gerontology | Science & Technology | Brain | Brain research | Machine learning | Aged | Diagnostic imaging | Alzheimer's disease | Methods | Index Medicus
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10. Full Text Brain and white matter hyperintensity volumes after 10 years of random assignment to lifestyle intervention
by Espeland, Mark A and Erickson, Kirk and Neiberg, Rebecca H and Jakicic, John M and Wadden, Thomas A and Wing, Rena R and Desiderio, Lisa and Erus, Guray and Hsieh, Meng-Kang and Davatzikos, Christos and Maschak-Carey, Barbara J and Laurienti, Paul J and Demos-McDermott, Kathryn and Nick Bryan, R and Berkowitz, Robert I and Bailey, Bernadette and Bell, Yuliis and Butler, Norman and Carvajal, Raymond and Davenport, Renee and Diewald, Lisa and Elliott, Mark and Faulconbridge, Lucy and Fields, Barry and Huff, Krista and Jones-Parker, Mary and Keenan, Brendan and Leonard, Sharon and Li, Qing-Yun and Reilly, Katelyn and Sexton, Kelly and Staley, Bethany and Voluck, Matthew and Wesche-Thobaben, Jacqueline and Hergenroeder, Andrea and Kurdilla, Scott and Leckie, Regina L and Mancino, Juliet and McGuire, Meghan and Murray, Tracey and Peluso, Anna and Viszlay, Deborah and Watt, Jen C and Egan, Caitlin and Demos, Kathryn and Annis, Kirsten and Busha, Ryan and Damore, Casie and Dunlap, Causey and Fanella, Lynn and First, Lucas and Fisher, Michelle and Godbout, Stephen and Goldring, Anne and Labossiere, Ariana and Bryan, Nick and Nasrallah, Ilya and Bahnson, Judy and Casanova, Ramon and Hayasaka, Satoru and Houston, Denise and Lyday, Robert and Barnes, Jerry M and Beckner, Tara D and Cook, Delilah and Gordon, Michelle and Hege, Debra and Hodges, Amelia and Hogan, Patricia and Morgan, Ashley and Pate, Ginger and Walker, Jennifer and Action Hlth Diabet Brain Magnetic and Action for Health in Diabetes Brain Magnetic Resonance Imaging (Look AHEAD Brain) Ancillary Study Research Group
Diabetes care, ISSN 0149-5992, 05/2016, Volume 39, Issue 5, pp. 764 - 771
Life Sciences & Biomedicine | Endocrinology & Metabolism | Science & Technology | Brain - diagnostic imaging | Life Style | Overweight - complications | Follow-Up Studies | Humans | Middle Aged | Male | Directive Counseling | Diet, Reducing | Exercise | Diabetes Mellitus, Type 2 - therapy | Cognition - physiology | Weight Reduction Programs - methods | Female | Obesity - diagnosis | Overweight - diagnosis | Diabetes Mellitus, Type 2 - complications | Overweight - pathology | Obesity - complications | Organ Size | Combined Modality Therapy | Obesity - pathology | White Matter - pathology | Diabetes Mellitus, Type 2 - diagnosis | Magnetic Resonance Imaging | White Matter - diagnostic imaging | Brain - pathology | Aged | Diabetes Mellitus, Type 2 - pathology | Type 2 diabetes | Clinical trials | Care and treatment | Usage | Magnetic resonance imaging | Risk factors | Weight control | Physical fitness | Diet | Lifestyles | Diabetes | Neuropsychology | Index Medicus | Psychosocial Research | Nutrition | Education | Clinical Care
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