Skip to content

Home Search Authors Pakistan News Saved

SciRah

SciRah does not host or store research papers. Results come live from free, official scholarly APIs, and every paper links back to its original source.

Data sources

OpenAlex
Semantic Scholar
Crossref
CORE
arXiv
PubMed

Privacy policy Terms of service

G. Tourassi · SciRah

Researcher profile · Semantic Scholar

G. Tourassi

Share profile

G. Tourassi — researcher profile on SciRah

h-index: 39
Works: 224
Citations: 5,899

Most-cited papers

Artificial intelligence in cancer research, diagnosis and therapy
O. Elemento, C. Leslie, Johan Lundin, G. Tourassi
2021Nature Reviews. Cancer235 citations Open access
Semantic Scholar
Limitations of Transformers on Clinical Text Classification
Shang Gao, Mohammed M. Alawad, M. T. Young, John Gounley +8 more
2021IEEE journal of biomedical and health informatics170 citations Open access
Semantic Scholar
Hierarchical attention networks for information extraction from cancer pathology reports
Shang Gao, M. T. Young, John X. Qiu, Hong-Jun Yoon +4 more
2017J. Am. Medical Informatics Assoc.139 citations Open access
Semantic Scholar
Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports
John X. Qiu, Hong-Jun Yoon, P. Fearn, G. Tourassi
2018IEEE journal of biomedical and health informatics130 citations
Semantic Scholar
LUNGx Challenge for computerized lung nodule classification
S. Armato, K. Drukker, Feng Li, L. Hadjiiski +7 more
2016Journal of Medical Imaging121 citations Open access
Semantic Scholar
Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records
G. Savova, I. Danciu, Folami T. Alamudun, Timothy Miller +4 more
2019Cancer Research119 citations Open access
Semantic Scholar
Transforming Epidemiology for 21st Century Medicine and Public Health
M. Khoury, T. Lam, J. Ioannidis, P. Hartge +23 more
2013Cancer Epidemiology, Biomarkers and Prevention119 citations Open access
Semantic Scholar
Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment
Yang Liu, Song-Hua Xu, G. Tourassi
2015IEEE Transactions on Computational Social Systems97 citations Open access
Semantic Scholar
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks
Mohammed M. Alawad, Shang Gao, John X. Qiu, Hong-Jun Yoon +6 more
2019J. Am. Medical Informatics Assoc.89 citations Open access
Semantic Scholar
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
L. Hadjiiski, K. Cha, H. Chan, K. Drukker +18 more
2022Medical Physics (Lancaster)85 citations Open access
Semantic Scholar
Class Imbalance in Out-of-Distribution Datasets: Improving the Robustness of the TextCNN for the Classification of Rare Cancer Types
Kevin De Angeli, Shang Gao, I. Danciu, E. Durbin +10 more
2021Journal of Biomedical Informatics64 citations Open access
Semantic Scholar
Classifying cancer pathology reports with hierarchical self-attention networks
Shang Gao, John X. Qiu, Mohammed M. Alawad, Jacob Hinkle +9 more
2019Artif. Intell. Medicine62 citations Open access
Semantic Scholar
Hierarchical Convolutional Attention Networks for Text Classification
Shang Gao, A. Ramanathan, G. Tourassi
2018Rep4NLP@ACL56 citations Open access
Semantic Scholar
Knowledge Graph-Enabled Cancer Data Analytics
S. M. Shamimul Hasan, D. Rivera, Xiao-Cheng Wu, Eric B. Durbin +2 more
2020IEEE journal of biomedical and health informatics55 citations Open access
Semantic Scholar
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
L. Manubens-Gil, Zhi Zhou, Han-Bo Chen, Arvind Ramanathan +61 more
2023Nature Methods52 citations Open access
Semantic Scholar
Predicting diagnostic error in radiology via eye-tracking and image analytics: preliminary investigation in mammography.
S. Voisin, F. Pinto, Garnetta Morin-Ducote, K. Hudson +1 more
2013Medical Physics (Lancaster)48 citations Open access
Semantic Scholar
LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned
S. Armato, L. Hadjiiski, G. Tourassi, K. Drukker +6 more
201745 citations
Semantic Scholar
Deep active learning for classifying cancer pathology reports
Kevin De Angeli, Shang Gao, Mohammed M. Alawad, Hong-Jun Yoon +8 more
2020BMC Bioinformatics42 citations Open access
Semantic Scholar
Privacy-Preserving Deep Learning NLP Models for Cancer Registries
Mohammed M. Alawad, Hong-Jun Yoon, Shang Gao, B. Mumphrey +8 more
2020IEEE Transactions on Emerging Topics in Computing41 citations Open access
Semantic Scholar
Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory
Hong-Jun Yoon, G. Tourassi
2014Proceedings of the 2014 Biomedical Sciences and Engineering Conference37 citations Open access
Semantic Scholar
Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports
Hong-Jun Yoon, A. Ramanathan, G. Tourassi
2016INNS Conference on Big Data34 citations
Semantic Scholar
A user-oriented web crawler for selectively acquiring online content in e-health research
Song-Hua Xu, Hong-Jun Yoon, G. Tourassi
2014Bioinform.34 citations Open access
Semantic Scholar
AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing
Tanmoy Bhattacharya, T. Brettin, J. Doroshow, Yvonne A. Evrard +12 more
2019Frontiers in Oncology29 citations Open access
Semantic Scholar
Evaluation of pre-training large language models on leadership-class supercomputers
Jun-Qi Yin, Sajal Dash, John Gounley, Fei-Yi Wang +1 more
2023Journal of Supercomputing28 citations Open access
Semantic Scholar
Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program
A. Verma, J. Huffman, Alex A. Rodriguez, Mitchell Conery +64 more
2023medRxiv27 citations Open access
Semantic Scholar
Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports
Mohammed M. Alawad, Hong-Jun Yoon, G. Tourassi
20182018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)27 citations Open access
Semantic Scholar
IEEE Journal of Biomedical and Health Informatics
S. Cerutti, B. Eskofier, G. Tourassi
2020IEEE journal of biomedical and health informatics25 citations Open access
Semantic Scholar
Gaze as a biometric
Hong-Jun Yoon, Tandy R. Carmichael, G. Tourassi
2014Medical Imaging24 citations
Semantic Scholar
Using case-level context to classify cancer pathology reports
Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, L. Penberthy +5 more
2020PLoS ONE22 citations Open access
Semantic Scholar
Investigating the association of eye gaze pattern and diagnostic error in mammography
S. Voisin, F. Pinto, Song-Hua Xu, Garnetta Morin-Ducote +2 more
2013Medical Imaging21 citations
Semantic Scholar
Fractal analysis of visual search activity for mass detection during mammographic screening
Folami T. Alamudun, Hong-Jun Yoon, K. Hudson, Garnetta Morin-Ducote +2 more
2017Medical Physics (Lancaster)20 citations Open access
Semantic Scholar
Energy efficient stochastic-based deep spiking neural networks for sparse datasets
Mohammed M. Alawad, Hong-Jun Yoon, G. Tourassi
20172017 IEEE International Conference on Big Data (Big Data)19 citations Open access
Semantic Scholar
Deep learning uncertainty quantification for clinical text classification
Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd Yusof +13 more
2023Journal of Biomedical Informatics17 citations Open access
Semantic Scholar
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports
Hong-Jun Yoon, Hilda B. Klasky, John Gounley, Mohammed M. Alawad +9 more
2020Journal of Biomedical Informatics17 citations Open access
Semantic Scholar
Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension
Hong-Jun Yoon, S. Robinson, J. Christian, John X. Qiu +1 more
20182018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)17 citations Open access
Semantic Scholar
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification
Andrew E. Blanchard, Shang Gao, Hong-Jun Yoon, J. Christian +9 more
2022IEEE journal of biomedical and health informatics16 citations Open access
Semantic Scholar
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports
Mohammed M. Alawad, Shang Gao, John X. Qiu, Noah Schaefferkoetter +9 more
20192019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)16 citations Open access
Semantic Scholar
Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction
Mohammed M. Alawad, S. M. Shamimul Hasan, J. Christian, G. Tourassi
20182018 IEEE International Conference on Big Data (Big Data)16 citations Open access
Semantic Scholar
A novel web informatics approach for automated surveillance of cancer mortality trends
G. Tourassi, Hong-Jun Yoon, Song-Hua Xu
2016Journal of Biomedical Informatics15 citations Open access
Semantic Scholar
Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts
Hong-Jun Yoon, John Gounley, M. T. Young, G. Tourassi
20192019 IEEE International Conference on Big Data (Big Data)14 citations Open access
Semantic Scholar
Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC
Hong-Jun Yoon, John Gounley, Gao Shang, Mohammed M. Alawad +2 more
20192019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)13 citations Open access
Semantic Scholar
Extracting Patient Demographics and Personal Medical Information from Online Health Forums
Yang Liu, Song-Hua Xu, Hong-Jun Yoon, G. Tourassi
2014American Medical Informatics Association Annual Symposium13 citations
Semantic Scholar
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping
Mohammed M. Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan +8 more
2021arXiv.org12 citations
Semantic Scholar
COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients
M. Stewart, Carla V Rodriguez-Watson, Adem Albayrak, J. Asubonteng +33 more
2021PLoS ONE12 citations Open access
Semantic Scholar
Automated histologic grading from free-text pathology reports using graph-of-words features and machine learning
Hong-Jun Yoon, Larry W. Roberts, G. Tourassi
20172017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)12 citations Open access
Semantic Scholar
Visualization for Classiﬁcation in Deep Neural Networks
Junghoon Chae, Gao Shang, Arvind Ramanthan, Chad A. Steed +1 more
201711 citations
Semantic Scholar
Scalable deep text comprehension for Cancer surveillance on high-performance computing
John X. Qiu, Hong-Jun Yoon, K. Srivastava, Thomas P. Watson +5 more
2018BMC Bioinformatics10 citations Open access
Semantic Scholar
Pharmacoepidemiology, Machine Learning and COVID-19: An intent-to-treat analysis of hydroxychloroquine, with or without azithromycin, and COVID-19 outcomes amongst hospitalized US Veterans
H. Gerlovin, D. Posner, Y. Ho, C. Rentsch +17 more
2021American Journal of Epidemiology9 citations Open access
Semantic Scholar
Receiver Operating Characteristic Analysis: Basic Concepts and Practical Applications
G. Tourassi
2018The Handbook of Medical Image Perception and Techniques9 citations
Semantic Scholar
Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer
Hong-Jun Yoon, A. Ramanathan, Folami T. Alamudun, G. Tourassi
2018Other Conferences9 citations Open access
Semantic Scholar

Frequent co-authors

Invite them to SciRah by sharing their profile.

Hong-Jun Yoon×27
Invite
Hong-Jun Yoon — researcher profile on SciRah
Shang Gao×13
Invite
Shang Gao — researcher profile on SciRah
Xiao-Cheng Wu×12
Invite
Xiao-Cheng Wu — researcher profile on SciRah
Mohammed M. Alawad×11
Invite
Mohammed M. Alawad — researcher profile on SciRah

Linda Coyle×11

Invite

Linda Coyle — researcher profile on SciRah

J. Christian×11

Invite

J. Christian — researcher profile on SciRah

L. Penberthy×11

Invite

L. Penberthy — researcher profile on SciRah

Invite

E. Durbin — researcher profile on SciRah

Invite

A. Stroup — researcher profile on SciRah

Invite

John X. Qiu — researcher profile on SciRah

A. Ramanathan×7

Invite

A. Ramanathan — researcher profile on SciRah

Noah Schaefferkoetter×6

Invite

Noah Schaefferkoetter — researcher profile on SciRah