A citation-based method for searching scientific literature

Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
Times Cited: 6549







List of co-cited articles
134 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Diabetes Healthcare Professionals Use Multiple Continuous Glucose Monitoring Data Indicators to Assess Glucose Management.
Tong Sheng, Reid Offringa, David Kerr, Mark Clements, Jerome Fischer, Linda Parks, Michael Greenfield. J Diabetes Sci Technol 2020
1
100



Identification of intraday metabolic profiles during closed-loop glucose control in individuals with type 1 diabetes.
Sami S Kanderian, Stu Weinzimer, Gayane Voskanyan, Garry M Steil. J Diabetes Sci Technol 2009
35
2

Adherence to Insulin Therapy.
G Blair Sarbacker, Elizabeth M Urteaga. Diabetes Spectr 2016
24
4

Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: the Ambulatory Glucose Profile (AGP).
Richard M Bergenstal, Andrew J Ahmann, Timothy Bailey, Roy W Beck, Joan Bissen, Bruce Buckingham, Larry Deeb, Robert H Dolin, Satish K Garg, Robin Goland,[...]. Diabetes Technol Ther 2013
148
1

Nutrition recommendations and interventions for diabetes: a position statement of the American Diabetes Association.
John P Bantle, Judith Wylie-Rosett, Ann L Albright, Caroline M Apovian, Nathaniel G Clark, Marion J Franz, Byron J Hoogwerf, Alice H Lichtenstein, Elizabeth Mayer-Davis, Arshag D Mooradian,[...]. Diabetes Care 2008
815
1

Adherence to insulin treatment in insulin-naïve type 2 diabetic patients initiated on different insulin regimens.
Dilek Gogas Yavuz, Sevim Ozcan, Oguzhan Deyneli. Patient Prefer Adherence 2015
31
3

CGM Retrospective Data Analysis.
Gary Scheiner. Diabetes Technol Ther 2016
16
6

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.
James H Cole, Rudra P K Poudel, Dimosthenis Tsagkrasoulis, Matthan W A Caan, Claire Steves, Tim D Spector, Giovanni Montana. Neuroimage 2017
166
1

Machine Learning Approaches for Clinical Psychology and Psychiatry.
Dominic B Dwyer, Peter Falkai, Nikolaos Koutsouleris. Annu Rev Clin Psychol 2018
158
1



From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics.
Thomas Wolfers, Jan K Buitelaar, Christian F Beckmann, Barbara Franke, Andre F Marquand. Neurosci Biobehav Rev 2015
138
1

Research domain criteria (RDoC): toward a new classification framework for research on mental disorders.
Thomas Insel, Bruce Cuthbert, Marjorie Garvey, Robert Heinssen, Daniel S Pine, Kevin Quinn, Charles Sanislow, Philip Wang. Am J Psychiatry 2010
1

Recurrent Neural Networks in Mobile Sampling and Intervention.
Georgia Koppe, Sinan Guloksuz, Ulrich Reininghaus, Daniel Durstewitz. Schizophr Bull 2019
5
20

Mitosis detection in breast cancer histology images with deep neural networks.
Dan C Cireşan, Alessandro Giusti, Luca M Gambardella, Jürgen Schmidhuber. Med Image Comput Comput Assist Interv 2013
288
1

Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI.
Xiaoxiao Li, Nicha C Dvornek, Juntang Zhuang, Pamela Ventola, James S Duncan. Med Image Comput Comput Assist Interv 2018
5
20

Characterisation of mental health conditions in social media using Informed Deep Learning.
George Gkotsis, Anika Oellrich, Sumithra Velupillai, Maria Liakata, Tim J P Hubbard, Richard J B Dobson, Rina Dutta. Sci Rep 2017
27
3

Machine Learning: Deepest Learning as Statistical Data Assimilation Problems.
Henry D I Abarbanel, Paul J Rozdeba, Sasha Shirman. Neural Comput 2018
7
14

Sleep Quality Prediction From Wearable Data Using Deep Learning.
Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque, Ferda Ofli, Jaideep Srivastava, Ahmed Elmagarmid, Teresa Arora, Shahrad Taheri. JMIR Mhealth Uhealth 2016
30
3

Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.
Vince D Calhoun, Jing Sui. Biol Psychiatry Cogn Neurosci Neuroimaging 2016
127
1

Bayesian non-parametrics and the probabilistic approach to modelling.
Zoubin Ghahramani. Philos Trans A Math Phys Eng Sci 2012
15
6

Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling.
Shui-Hua Wang, Yi-Ding Lv, Yuxiu Sui, Shuai Liu, Su-Jing Wang, Yu-Dong Zhang. J Med Syst 2017
18
5



Meta-Learning in Neural Networks: A Survey.
Timothy M Hospedales, Antreas Antoniou, Paul Micaelli, Amos J Storkey. IEEE Trans Pattern Anal Mach Intell 2021
3
33

Building better biomarkers: brain models in translational neuroimaging.
Choong-Wan Woo, Luke J Chang, Martin A Lindquist, Tor D Wager. Nat Neurosci 2017
321
1

Gamma, alpha, delta, and theta oscillations govern cognitive processes.
E Başar, C Başar-Eroglu, S Karakaş, M Schürmann. Int J Psychophysiol 2001
638
1

Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders.
Talayeh Aledavood, John Torous, Ana Maria Triana Hoyos, John A Naslund, Jukka-Pekka Onnela, Matcheri Keshavan. Curr Psychiatry Rep 2019
9
11

DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI.
Atif Riaz, Muhammad Asad, Eduardo Alonso, Greg Slabaugh. J Neurosci Methods 2020
8
12

Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI.
Ling-Li Zeng, Huaning Wang, Panpan Hu, Bo Yang, Weidan Pu, Hui Shen, Xingui Chen, Zhening Liu, Hong Yin, Qingrong Tan,[...]. EBioMedicine 2018
61
1


Scanner invariant representations for diffusion MRI harmonization.
Daniel Moyer, Greg Ver Steeg, Chantal M W Tax, Paul M Thompson. Magn Reson Med 2020
5
20


Cell type-specific gene expression patterns associated with posttraumatic stress disorder in World Trade Center responders.
Pei-Fen Kuan, Xiaohua Yang, Sean Clouston, Xu Ren, Roman Kotov, Monika Waszczuk, Prashant K Singh, Sean T Glenn, Eduardo Cortes Gomez, Jianmin Wang,[...]. Transl Psychiatry 2019
32
3

Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.
Graziella Orrù, William Pettersson-Yeo, Andre F Marquand, Giuseppe Sartori, Andrea Mechelli. Neurosci Biobehav Rev 2012
468
1

What kinds of things are psychiatric disorders?
K S Kendler, P Zachar, C Craver. Psychol Med 2011
173
1

Deep learning for neuroimaging: a validation study.
Sergey M Plis, Devon R Hjelm, Ruslan Salakhutdinov, Elena A Allen, Henry J Bockholt, Jeffrey D Long, Hans J Johnson, Jane S Paulsen, Jessica A Turner, Vince D Calhoun. Front Neurosci 2014
162
1

Deep neural networks in psychiatry.
Daniel Durstewitz, Georgia Koppe, Andreas Meyer-Lindenberg. Mol Psychiatry 2019
41
2

Predicting Polygenic Risk of Psychiatric Disorders.
Alicia R Martin, Mark J Daly, Elise B Robinson, Steven E Hyman, Benjamin M Neale. Biol Psychiatry 2019
83
1

Benign overfitting in linear regression.
Peter L Bartlett, Philip M Long, Gábor Lugosi, Alexander Tsigler. Proc Natl Acad Sci U S A 2020
8
12

Psychiatric Illnesses as Disorders of Network Dynamics.
Daniel Durstewitz, Quentin J M Huys, Georgia Koppe. Biol Psychiatry Cogn Neurosci Neuroimaging 2021
4
25

Learning hierarchical features for scene labeling.
Clément Farabet, Camille Couprie, Laurent Najman, Yann Lecun. IEEE Trans Pattern Anal Mach Intell 2013
199
1

VIGAN: Missing View Imputation with Generative Adversarial Networks.
Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi. Proc IEEE Int Conf Big Data 2017
5
20

Identification of a common neurobiological substrate for mental illness.
Madeleine Goodkind, Simon B Eickhoff, Desmond J Oathes, Ying Jiang, Andrew Chang, Laura B Jones-Hagata, Brissa N Ortega, Yevgeniya V Zaiko, Erika L Roach, Mayuresh S Korgaonkar,[...]. JAMA Psychiatry 2015
579
1

Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data.
Weizheng Yan, Vince Calhoun, Ming Song, Yue Cui, Hao Yan, Shengfeng Liu, Lingzhong Fan, Nianming Zuo, Zhengyi Yang, Kaibin Xu,[...]. EBioMedicine 2019
18
5

A small number of abnormal brain connections predicts adult autism spectrum disorder.
Noriaki Yahata, Jun Morimoto, Ryuichiro Hashimoto, Giuseppe Lisi, Kazuhisa Shibata, Yuki Kawakubo, Hitoshi Kuwabara, Miho Kuroda, Takashi Yamada, Fukuda Megumi,[...]. Nat Commun 2016
112
1

Optimization by simulated annealing.
S Kirkpatrick, C D Gelatt, M P Vecchi. Science 1983
1

Identifying substance use risk based on deep neural networks and Instagram social media data.
Saeed Hassanpour, Naofumi Tomita, Timothy DeLise, Benjamin Crosier, Lisa A Marsch. Neuropsychopharmacology 2019
14
7


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.