Simi Bajaj

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All published works

Action	Title	Year	Authors
+ PDF Chat	Enhanced cluster detection and noise reduction for geospatial time series data of COVID-19	2023	Sabitri Gaire Abeer Alsadoon P. W. C. Prasad Nada AlSallami Simi Bajaj Ahmed Dawoud Trung Hung Vo
+ PDF Chat	Deep learning for breast cancer classification: Enhanced tangent function	2021	Ashu Thapa Abeer Alsadoon P. W. C. Prasad Simi Bajaj Omar Hisham Alsadoon Tarik A. Rashid Rasha S. Ali Oday D. Jerew

Common Coauthors

Coauthor	Papers Together
Abeer Alsadoon	2
P. W. C. Prasad	2
Ahmed Dawoud	1
Ashu Thapa	1
Oday D. Jerew	1
Omar Hisham Alsadoon	1
Tarik A. Rashid	1
Nada AlSallami	1
Sabitri Gaire	1
Trung Hung Vo	1
Rasha S. Ali	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Improving Computer-Aided Detection Using<?Pub _newline?>Convolutional Neural Networks and Random View Aggregation	2015	Holger R. Roth Le Lü Jiamin Liu Jianhua Yao Ari Seff Kevin M. Cherry Lauren Kim Ronald M. Summers	1
+	Detection of emerging space-time clusters	2005	Daniel B. Neill Andrew Moore Maheshkumar Sabhnani Kenny Daniel	1
+ PDF Chat	Comments on ‘A critical look at prospective surveillance using a scan statistic’ by T. Correa, M. Costa, and R. Assunção	2015	Martin Kulldorff Ken Kleinman	1
+ PDF Chat	A flexibly shaped spatial scan statistic for detecting clusters	2005	Toshiro Tango Kunihiko Takahashi	1
+ PDF Chat	Retrospective space–time analysis methods to support West Nile virus surveillance activities	2014	Paolo Mulatti Matteo Mazzucato Fabrizio Montarsi Silvia Ciocchetta Gioia Capelli Lebana Bonfanti Stefano Marangon	1
+ PDF Chat	Online platform for applying space–time scan statistics for prospectively detecting emerging hot spots of dengue fever	2016	Chien‐Chou Chen Yung-Chu Teng Bo‐Cheng Lin I-Chun Fan Ta‐Chien Chan	1
+	Detecting and classifying lesions in mammograms with Deep Learning	2017	Dezső Ribli Anna Horváth Zsuzsa Unger Péter Pollner István Csabai	1
+	Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters	2020	Michael R. Desjardins Alexander Hohl Eric Delmelle	1
+	Determining the spatial effects of COVID-19 using the spatial panel data model	2020	Hasraddin Guliyev	1
+	GIS-based spatial modeling of COVID-19 incidence rate in the continental United States	2020	Abolfazl Mollalo Behzad Vahedi Kiara M. Rivera	1
+	Spatial analysis of COVID-19 clusters and contextual factors in New York City	2020	Jack Cordes Márcia C. Castro	1
+	Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States	2020	Alexander Hohl Eric Delmelle Michael R. Desjardins Yu Lan	1
+	A Syndromic Surveillance Tool to Detect Anomalous Clusters of COVID-19 Symptoms in the United States	2020	Amparo Güemes Soumyajit Ray Khaled Aboumerhi Michael R. Desjardins Anton Kvit Anne E. Corrigan Brendan Fries Timothy Shields Robert D. Stevens Frank C. Curriero	1
+ PDF Chat	Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification	2018	Kamyar Nazeri Azad Aminpour Mehran Ebrahimi	1