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Medical Image Analysis, ISSN 1361-8415, 05/2018, Volume 46, p. 26
Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases with a commonly seen prodromal mild cognitive impairment (MCI) phase where memory... 
Neuroimaging | Brain | Classifiers | Medical imaging | Neurodegenerative diseases | Memory | Cognitive ability | Medical services | Positron emission | Impairment | Glucose | Metabolism | Neurological diseases | Learning | Neural networks | Multiscale analysis | Tomography | Dementia disorders | Alzheimers disease | Positron emission tomography | Alzheimer's disease
Journal Article
Medical Image Analysis, ISSN 1361-8415, 05/2018, Volume 46, pp. 26 - 34
Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases with a commonly seen prodromal mild cognitive impairment (MCI) phase where memory... 
Early diagnosis | Multiscale deep neural network learning | Alzheimer’s disease | Metabolism FDG-PET
Journal Article
SCIENTIFIC REPORTS, ISSN 2045-2322, 04/2018, Volume 8, Issue 1, p. 5697
Alzheimer's Disease (AD) is a progressive neurodegenerative disease where biomarkers for disease based on pathophysiology may be able to provide objective... 
CONVERSION | MULTIDISCIPLINARY SCIENCES | REPRESENTATION | CLASSIFICATION | PATTERNS | MILD COGNITIVE IMPAIRMENT | PREDICTION | FEATURES
Journal Article
by Lu, Donghuan and Popuri, Karteek and Ding, Gavin Weiguang and Balachandar, Rakesh and Beg, Mirza Faisal and Weiner, Michael and Aisen, Paul and Petersen, Ronald and Jack, Cliford and Jagust, William and Trojanowki, John and Toga, Arthur and Beckett, Laurel and Green, Robert and Saykin, Andrew and Morris, John and Shaw, Leslie and Kaye, Jefrey and Quinn, Joseph and Silbert, Lisa and Lind, Betty and Carter, Raina and Dolen, Sara and Schneider, Lon and Pawluczyk, Sonia and Beccera, Mauricio and Teodoro, Liberty and Spann, Bryan and Brewer, James and Vanderswag, Helen and Fleisher, Adam and Heidebrink, Judith and Lord, Joanne and Mason, Sara and Albers, Colleen and Knopman, David and Johnson, Kris and Doody, Rachelle and Villanueva-Meyer, Javier and Chowdhury, Munir and Rountree, Susan and Dang, Mimi and Stern, Yaakov and Honig, Lawrence and Bell, Karen and Ances, Beau and Carroll, Maria and Creech, Mary and Franklin, Erin and Mintun, Mark and Schneider, Stacy and Oliver, Angela and Marson, Daniel and Grifth, Randall and Clark, David and Geldmacher, David and Brockington, John and Roberson, Erik and Love, Marissa Natelson and Grossman, Hillel and Mitsis, Efe and Shah, Raj and deToledo-Morrell, Leyla and Duara, Ranjan and Varon, Daniel and Greig, Maria and Roberts, Peggy and Albert, Marilyn and Onyike, Chiadi and D’Agostino, Daniel and Kielb, Stephanie and Galvin, James and Cerbone, Brittany and Michel, Christina and Pogorelec, Dana and Rusinek, Henry and de Leon, Mony and Glodzik, Lidia and Santi, Susan De and Doraiswamy, P and Petrella, Jefrey and Borges-Neto, Salvador and Wong, Terence and Coleman, Edward and Smith, Charles and Jicha, Greg and Hardy, Peter and Sinha, Partha and Oates, Elizabeth and Conrad, Gary and Porsteinsson, Anton and Goldstein, Bonnie and Martin, Kim and Makino, Kelly and Ismail, M and Brand, Connie and Mulnard, Ruth and Thai, Gaby and Mc-Adams-Ortiz, Catherine and Womack, Kyle and ... and Alzheimer’s Disease Neuroimaging Initiative
Scientific Reports, ISSN 2045-2322, 12/2018, Volume 8, Issue 1, pp. 1 - 13
Alzheimer’s Disease (AD) is a progressive neurodegenerative disease where biomarkers for disease based on pathophysiology may be able to provide objective... 
Neuroimaging | Glucose metabolism | Magnetic resonance imaging | Neural networks | Cognitive ability | Biomarkers | Diagnosis | Metabolism | Alzheimer's disease | Positron emission tomography | Structure-function relationships
Journal Article
02/2019
Carefully crafted, often imperceptible, adversarial perturbations have been shown to cause state-of-the-art models to yield extremely inaccurate outputs,... 
Journal Article
02/2019
advertorch is a toolbox for adversarial robustness research. It contains various implementations for attacks, defenses and robust training methods. advertorch... 
Journal Article
02/2019
Neural networks are vulnerable to small adversarial perturbations. Existing literature largely focused on understanding and mitigating the vulnerability of... 
Journal Article
12/2018
We study adversarial robustness of neural networks from a margin maximization perspective, where margins are defined as the distances from inputs to a... 
Journal Article
10/2018
Neural Information Processing Systems (NIPS 2018) In this paper, we investigate Dimensionality reduction (DR) maps in an information retrieval setting from a... 
Journal Article
05/2018
We propose a novel regularizer to improve the training of Generative Adversarial Networks (GANs). The motivation is that when the discriminator D spreads out... 
Journal Article
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