Neda Tavakoli

27 papers B 1C 2Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI.
CoRR
Neda Tavakoli, Amir Ali Rahsepar, Brandon C. Benefield, Daming Shen, Santiago López-Tapia, Florian Schiffers, Jeffrey J. Goldberger, Christine M. Albert, Edwin Wu, Aggelos K. Katsaggelos, Daniel C. Lee, Daniel Kim
2024 — —
Algorithmic Techniques for Variant Selection in Genome Graphs.
Neda Tavakoli
2024 — conf
DRL-STNet: Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation via Disentangled Representation Learning.
FLARE@MICCAI
Hui Lin, Florian Schiffers, Santiago López-Tapia, Neda Tavakoli, Daniel Kim, Aggelos K. Katsaggelos
2024 J jnl
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning.
CoRR
Hui Lin, Florian Schiffers, Santiago López-Tapia, Neda Tavakoli, Daniel Kim, Aggelos K. Katsaggelos
2024 — conf
GenSegNet: Leveraging Synthetic Sequences and Pseudo Labels for Multi-sequence Myocardial Pathology Segmentation.
CARE@MICCAI
Hui Lin, Neda Tavakoli, Florian Schiffers, Santiago López-Tapia, Daniel Kim, Aggelos K. Katsaggelos
2024 J jnl
GraphSlimmer: Preserving Read Mappability with the Minimum Number of Variants.
J. Comput. Biol.
Neda Tavakoli, Daniel Gibney, Srinivas Aluru
2022 — conf
Haplotype-aware variant selection for genome graphs.
BCB
Neda Tavakoli, Daniel Gibney, Srinivas Aluru
2021 J jnl
A variant selection framework for genome graphs.
Bioinform.
Chirag Jain, Neda Tavakoli, Srinivas Aluru
2020 J jnl
A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic.
CoRR
Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2020 — conf
A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic.
IEEE BigData
Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2020 J jnl
Clustering Time Series Data through Autoencoder-based Deep Learning Models.
CoRR
Neda Tavakoli, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
2020 J jnl
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition.
CoRR
Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
2020 J jnl
Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models.
CoRR
Neda Tavakoli
2020 C conf
Optimizing CNN using Fast Fourier Transformation for Object Recognition.
ICMLA
Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
2020 B conf
Seq2Image: Sequence Analysis using Visualization and Deep Convolutional Neural Network.
COMPSAC
Neda Tavakoli
2019 J jnl
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM.
CoRR
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2019 J jnl
Client-side straggler-aware I/O scheduler for object-based parallel file systems.
Parallel Comput.
Neda Tavakoli, Dong Dai, Yong Chen
2019 — conf
Modeling Genome Data Using Bidirectional LSTM.
COMPSAC (2)
Neda Tavakoli
2019 — conf
The Performance of LSTM and BiLSTM in Forecasting Time Series.
IEEE BigData
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2018 C conf
A Comparison of ARIMA and LSTM in Forecasting Time Series.
ICMLA
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2018 J jnl
A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge.
CoRR
Dong Dai, Robert B. Ross, Dounia Khaldi, Yonghong Yan, Matthieu Dorier, Neda Tavakoli, Yong Chen
2018 J jnl
A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems.
CoRR
Neda Tavakoli, Dong Dai, John Jenkins, Philip H. Carns, Robert B. Ross, Yong Chen
2018 J jnl
A Software-Defined QoS Provisioning Framework for HPC Applications.
CoRR
Neda Tavakoli, Yong Chen
2018 J jnl
Client-side Straggler-Aware I/O Scheduler for Object-based Parallel File Systems.
CoRR
Neda Tavakoli, Dong Dai, Yong Chen
2018 J jnl
On Computing Average Common Substring Over Run Length Encoded Sequences.
CoRR
Sahar Hooshmand, Neda Tavakoli, Paniz Abedin, Sharma V. Thankachan
2018 J jnl
On Computing Average Common Substring Over Run Length Encoded Sequences.
Fundam. Informaticae
Sahar Hooshmand, Neda Tavakoli, Paniz Abedin, Sharma V. Thankachan
2016 — conf
Log-Assisted Straggler-Aware I/O Scheduler for High-End Computing.
ICPP Workshops
Neda Tavakoli, Dong Dai, Yong Chen