Search

Your search keyword '"Acharya, Deepak"' showing total 391 results
Start Over Author "Acharya, Deepak"
391 results on '"Acharya, Deepak"'

2. International Society for Heart and Lung Transplantation Guidelines for the Evaluation and Care of Cardiac Transplant Candidates—2024

Author

Peled, Yael, Ducharme, Anique, Kittleson, Michelle, Bansal, Neha, Stehlik, Josef, Amdani, Shahnawaz, Saeed, Diyar, Cheng, Richard, Clarke, Brian, Dobbels, Fabienne, Farr, Maryjane, Lindenfeld, JoAnn, Nikolaidis, Lazaros, Patel, Jignesh, Acharya, Deepak, Albert, Dimpna, Aslam, Saima, Bertolotti, Alejandro, Chan, Michael, Chih, Sharon, Colvin, Monica, Crespo-Leiro, Maria, D'Alessandro, David, Daly, Kevin, Diez-Lopez, Carles, Dipchand, Anne, Ensminger, Stephan, Everitt, Melanie, Fardman, Alexander, Farrero, Marta, Feldman, David, Gjelaj, Christiana, Goodwin, Matthew, Harrison, Kimberly, Hsich, Eileen, Joyce, Emer, Kato, Tomoko, Kim, Daniel, Luong, Me-Linh, Lyster, Haifa, Masetti, Marco, Matos, Ligia Neres, Nilsson, Johan, Noly, Pierre-Emmanuel, Rao, Vivek, Rolid, Katrine, Schlendorf, Kelly, Schweiger, Martin, Spinner, Joseph, Townsend, Madeleine, Tremblay-Gravel, Maxime, Urschel, Simon, Vachiery, Jean-Luc, Velleca, Angela, Waldman, Georgina, and Walsh, James

Published
2024
Full Text
View/download PDF

4. Angiographic characteristics of patients with STEMI and COVID-19: Insights from NACMI registry

Author

Dehghani, Payam, Singh, Jyotpal, Mancini, G.B. John, Stanberry, Larissa, Bergstedt, Seth, Madan, Mina, Benziger, Catherine P., Ghasemzadeh, Nima, Bortnick, Anna, Kankaria, Rohan, Grines, Cindy L., Nayak, Keshav, Yildiz, Mehmet, Alraies, M Chadi, Bagai, Akshay, Patel, Rajan A.G., Amlani, Shy, Case, Brian C., Waksman, Ron, Shavadia, Jay S., Stone, Jay H., Acharya, Deepak, Javed, Nosheen, Bagur, Rodrigo, Garberich, Ross, Garcia, Santiago, and Henry, Timothy D.

Published
2024
Full Text
View/download PDF

5. Weighted Graph Nodes Clustering via Gumbel Softmax

Author

Acharya, Deepak Bhaskar and Zhang, Huaming

Subjects
Computer Science - Social and Information Networks, Computer Science - Machine Learning
Abstract

Graph is a ubiquitous data structure in data science that is widely applied in social networks, knowledge representation graphs, recommendation systems, etc. When given a graph dataset consisting of one graph or more graphs, where the graphs are weighted in general, the first step is often to find clusters in the graphs. In this paper, we present some ongoing research results on graph clustering algorithms for clustering weighted graph datasets, which we name as Weighted Graph Node Clustering via Gumbel Softmax (WGCGS for short). We apply WGCGS on the Karate club weighted network dataset. Our experiments demonstrate that WGCGS can efficiently and effectively find clusters in the Karate club weighted network dataset. Our algorithm's effectiveness is demonstrated by (1) comparing the clustering result obtained from our algorithm and the given labels of the dataset; and (2) comparing various metrics between our clustering algorithm and other state-of-the-art graph clustering algorithms.

Published
2021

8. Community Detection Clustering via Gumbel Softmax

Author

Acharya, Deepak Bhaskar and Zhang, Huaming

Subjects
Computer Science - Machine Learning, Computer Science - Social and Information Networks, Statistics - Machine Learning
Abstract

Recently, in many systems such as speech recognition and visual processing, deep learning has been widely implemented. In this research, we are exploring the possibility of using deep learning in community detection among the graph datasets. Graphs have gained growing traction in different fields, including social networks, information graphs, the recommender system, and also life sciences. In this paper, we propose a method of community detection clustering the nodes of various graph datasets. We cluster different category datasets that belong to Affiliation networks, Animal networks, Human contact networks, Human social networks, Miscellaneous networks. The deep learning role in modeling the interaction between nodes in a network allows a revolution in the field of science relevant to graph network analysis. In this paper, we extend the gumbel softmax approach to graph network clustering. The experimental findings on specific graph datasets reveal that the new approach outperforms traditional clustering significantly, which strongly shows the efficacy of deep learning in graph community detection clustering. We do a series of experiments on our graph clustering algorithm, using various datasets: Zachary karate club, Highland Tribe, Train bombing, American Revolution, Dolphins, Zebra, Windsurfers, Les Mis\'erables, Political books., Comment: 9 Pages, previous title was Clustering for Graph Datasets via Gumbel Softmax

Published
2020

11. Feature Selection and Extraction for Graph Neural Networks

Author

Acharya, Deepak Bhaskar and Zhang, Huaming

Subjects
Computer Science - Machine Learning, Computer Science - Social and Information Networks, Statistics - Machine Learning
Abstract

Graph Neural Networks (GNNs) have been a latest hot research topic in data science, due to the fact that they use the ubiquitous data structure graphs as the underlying elements for constructing and training neural networks. In a GNN, each node has numerous features associated with it. The entire task (for example, classification, or clustering) utilizes the features of the nodes to make decisions, at node level or graph level. In this paper, (1) we extend the feature selection algorithm presented in via Gumbel Softmax to GNNs. We conduct a series of experiments on our feature selection algorithms, using various benchmark datasets: Cora, Citeseer and Pubmed. (2) We implement a mechanism to rank the extracted features. We demonstrate the effectiveness of our algorithms, for both feature selection and ranking. For the Cora dataset, (1) we use the algorithm to select 225 features out of 1433 features. Our experimental results demonstrate their effectiveness for the same classification problem. (2) We extract features such that they are linear combinations of the original features, where the coefficients for each extracted features are non-negative and sum up to one. We propose an algorithm to rank the extracted features in the sense that when using them for the same classification problem, the accuracy goes down gradually for the extracted features within the rank 1 - 50, 51 - 100, 100 - 150, and 151 - 200.

Published
2019

13. North American COVID-19 Myocardial Infarction (NACMI) Risk Score for Prediction of In-Hospital Mortality

Author

Dehghani, Payam, Schmidt, Christian W., Garcia, Santiago, Okeson, Brynn, Grines, Cindy L., Singh, Avneet, Patel, Rajan A.G., Wiley, Jose, Htun, Wah Wah, Nayak, Keshav R., Alraies, M. Chadi, Ghasemzadeh, Nima, Davidson, Laura J., Acharya, Deepak, Stone, Jay, Alyousef, Tareq, Case, Brian C., Dai, Xuming, Hafiz, Abdul Moiz, Madan, Mina, Jaffer, Faoruc A., Shavadia, Jay S., Garberich, Ross, Bagai, Akshay, Singh, Jyotpal, Aronow, Herbert D., Mercado, Nestor, and Henry, Timothy D.

Published
2022
Full Text
View/download PDF

14. Trends in Clinical Presentation, Management, and Outcomes of STEMI in Patients With COVID-19

Author

Garcia, Santiago, Dehghani, Payam, Stanberry, Larissa, Grines, Cindy, Patel, Rajan A.G., Nayak, Keshav R., Singh, Avneet, Htun, Wah Wah, Kabour, Ameer, Ghasemzadeh, Nima, Sanina, Cristina, Aragon, Joseph, Alraies, M. Chadi, Benziger, Catherine, Okeson, Brynn, Garberich, Ross, Welt, Frederick G., Davidson, Laura, Hafiz, Abdul Moiz, Acharya, Deepak, Stone, Jay, Mehra, Aditya, Amlani, Shy, Mahmud, Ehtisham, Giri, Jay, Yildiz, Mehmet, and Henry, Timothy D.

Published
2022
Full Text
View/download PDF

17. Initial Findings From the North American COVID-19 Myocardial Infarction Registry

Author

Garcia, Santiago, Dehghani, Payam, Grines, Cindy, Davidson, Laura, Nayak, Keshav R., Saw, Jacqueline, Waksman, Ron, Blair, John, Akshay, Bagai, Garberich, Ross, Schmidt, Christian, Ly, Hung Q., Sharkey, Scott, Mercado, Nestor, Alfonso, Carlos E., Misumida, Naoki, Acharya, Deepak, Madan, Mina, Hafiz, Abdul Moiz, Javed, Nosheen, Shavadia, Jay, Stone, Jay, Alraies, M. Chadi, Htun, Wah, Downey, William, Bergmark, Brian A., Ebinger, Jospeh, Alyousef, Tareq, Khalili, Houman, Hwang, Chao-Wei, Purow, Joshua, Llanos, Alexander, McGrath, Brent, Tannenbaum, Mark, Resar, Jon, Bagur, Rodrigo, Cox-Alomar, Pedro, Stefanescu Schmidt, Ada C., Cilia, Lindsey A., Jaffer, Farouc A., Gharacholou, Michael, Salinger, Michael, Case, Brian, Kabour, Ameer, Dai, Xuming, Elkhateeb, Osama, Kobayashi, Taisei, Kim, Hahn-Ho, Roumia, Mazen, Aguirre, Frank V., Rade, Jeffrey, Chong, Aun-Yeong, Hall, Hurst M., Amlani, Shy, Bagherli, Alireza, Patel, Rajan A.G., Wood, David A., Welt, Frederick G., Giri, Jay, Mahmud, Ehtisham, and Henry, Timothy D.

Published
2021
Full Text
View/download PDF

24. TCT-241 Clinical Characteristics and Outcomes of Impella-Supported High-Risk PCI in Patients Turned Down for Coronary Artery Bypass Graft Surgery: Insights From the cVAD PROTECT III Study

Author

Falah, Batla, primary, Tehrani, Behnam, additional, Zhang, Yiran, additional, Abu-Much, Arsalan, additional, Cohen, David, additional, Redfors, Bjorn, additional, Acharya, Deepak, additional, Garas, Samer, additional, Baron, Suzanne, additional, Basir, Babar, additional, Bharadwaj, Aditya, additional, Lemor, Alejandro, additional, Truesdell, Alexander, additional, O’Neill, William, additional, and Batchelor, Wayne, additional

Published
2023
Full Text
View/download PDF

28. LB-11 | Core-Laboratory Angiographic Characteristics and Mortality of Patients With STEMI and COVID-19: Insights from the NACMI Registry

Author

Dehghani, Payam, primary, Singh, Jyotpal, additional, Mancini, G.B. John, additional, Stanberry, Larissa, additional, Bergstedt, Seth, additional, Madan, Mina, additional, Case, Brian C., additional, Patel, Rajan A., additional, Stone, Jay H., additional, Benziger, Catherine, additional, Ghasemzadeh, Nima, additional, Grines, Cindy L., additional, Shavadia, Jay, additional, Acharya, Deepak, additional, Javed, Nosheen, additional, Bortnick, Anna, additional, Wiley, Jose M., additional, Bagur, Rodrigo, additional, Garberich, Ross, additional, Garcia, Santiago, additional, and Henry, Timothy D., additional

Published
2023
Full Text
View/download PDF

36. A CASE OF PERICARDIAL RUB TINNITUS

Author

Ibrahim, Ramzi, primary, Ferng, Jonathan, additional, Shanmugasundaram, Madhan, additional, Acharya, Deepak, additional, Acharya, Tushar, additional, Pineda, J.R. Exequiel, additional, and Lee, Kwan S., additional

Published
2023
Full Text
View/download PDF

38. Aortic valve disorders and left ventricular assist devices

Author

Acharya, Deepak, primary, Kazui, Toshinobu, additional, Al Rameni, Dina, additional, Acharya, Tushar, additional, Betterton, Edward, additional, Juneman, Elizabeth, additional, Loyaga-Rendon, Renzo, additional, Lotun, Kapildeo, additional, Shetty, Ranjith, additional, and Chatterjee, Arka, additional

Published
2023
Full Text
View/download PDF

44. Mechanical Circulatory Support in Patients With COVID-19 Presenting With Myocardial Infarction

Author

Guddeti, Raviteja R., primary, Sanina, Cristina, additional, Jauhar, Rajiv, additional, Henry, Timothy D., additional, Dehghani, Payam, additional, Garberich, Ross, additional, Schmidt, Christian W., additional, Nayak, Keshav R., additional, Shavadia, Jay S., additional, Bagai, Akshay, additional, Alraies, Chadi, additional, Mehra, Aditya, additional, Bagur, Rodrigo, additional, Grines, Cindy, additional, Singh, Avneet, additional, Patel, Rajan A.G., additional, Htun, Wah Wah, additional, Ghasemzadeh, Nima, additional, Davidson, Laura, additional, Acharya, Deepak, additional, Kabour, Ameer, additional, Hafiz, Abdul Moiz, additional, Amlani, Shy, additional, Wasserman, Hal S., additional, Smith, Timothy, additional, Kapur, Navin K., additional, and Garcia, Santiago, additional

Published
2023
Full Text
View/download PDF

50. Early Prediction of Cardiogenic Shock Using Machine Learning

Author

Chang, Yale, primary, Antonescu, Corneliu, additional, Ravindranath, Shreyas, additional, Dong, Junzi, additional, Lu, Mingyu, additional, Vicario, Francesco, additional, Wondrely, Lisa, additional, Thompson, Pam, additional, Swearingen, Dennis, additional, and Acharya, Deepak, additional

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results