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Amir H. Abdi
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2020 – today
- 2024
- [i12]Amir H. Abdi, Xinye Tang, Jeremias Eichelbaum, Mahan Das, Alex Klein, Nihal Irmak Pakis, William Blum, Daniel L. Mace, Tanvi Raja, Namrata Padmanabhan, Ye Xing:
NL2KQL: From Natural Language to Kusto Query. CoRR abs/2404.02933 (2024) - [i11]Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu:
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention. CoRR abs/2407.02490 (2024) - 2023
- [c15]Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi:
Towards Better Selective Classification. ICLR 2023 - [c14]Mohammad Amin Shabani, Amir H. Abdi, Lili Meng, Tristan Sylvain:
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting. ICLR 2023 - 2022
- [c13]Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori:
TD-GEN: Graph Generation Using Tree Decomposition. AISTATS 2022: 5518-5537 - [i10]Amin Shabani, Amir H. Abdi, Lili Meng, Tristan Sylvain:
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting. CoRR abs/2206.04038 (2022) - [i9]Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi:
Stop Overcomplicating Selective Classification: Use Max-Logit. CoRR abs/2206.09034 (2022) - 2021
- [c12]Rui Yang, Amir H. Abdi, Atabak Eghbal, Edward Wang, Khanh Linh Tran, David Yang
, Antony Hodgson, Eitan Prisman, Sidney S. Fels
Snake-based interactive tooth segmentation for 3D mandibular meshes. Medical Imaging: Image-Guided Procedures 2021 - [c11]Rui Yang, Amir H. Abdi, Atabak Eghbal, Edward Wang, Khanh Linh Tran, David Yang, Antony Hodgson, Eitan Prisman, Sidney S. Fels:
Snake-based interactive tooth segmentation for 3D mandibular meshes (erratum). Medical Imaging: Image-Guided Procedures 2021 - [i8]Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori:
TD-GEN: Graph Generation With Tree Decomposition. CoRR abs/2106.10656 (2021) - 2020
- [j6]Delaram Behnami, Christina Luong
Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 502-508 (2020) - [j5]Zhibin Liao
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment. IEEE Trans. Medical Imaging 39(6): 1868-1883 (2020)
2010 – 2019
- 2019
- [j4]Fatemeh Taheri Dezaki
Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss. IEEE Trans. Medical Imaging 38(8): 1821-1832 (2019) - [c10]Mohammad H. Jafari, Hany Girgis, Amir H. Abdi, Zhibin Liao, Mehran Pesteie, Robert Rohling, Ken Gin, Terasa Tsang
Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior. ISBI 2019: 649-652 - [c9]Amir H. Abdi, Mehran Pesteie, Eitan Prisman
Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery. MICCAI (5) 2019: 227-235 - [c8]Amir H. Abdi, Heather Borgard, Purang Abolmaesumi, Sidney S. Fels:
AnatomyGen: Deep Anatomy Generation From Dense Representation With Applications in Mandible Synthesis. MIDL 2019: 4-14 - [c7]Hooman Vaseli, Zhibin Liao, Amir H. Abdi, Hany Girgis, Delaram Behnami, Christina Luong
Designing lightweight deep learning models for echocardiography view classification. Medical Imaging: Image-Guided Procedures 2019: 109510F - [i7]Amir H. Abdi, Mehran Pesteie, Eitan Prisman, Purang Abolmaesumi, Sidney S. Fels:
Variational Mandible Shape Completion for Virtual Surgical Planning. CoRR abs/1906.11957 (2019) - [i6]Zhibin Liao, Hany Girgis, Amir H. Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi:
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment. CoRR abs/1911.00674 (2019) - [i5]Amir H. Abdi, Teresa Tsang, Purang Abolmaesumi:
GAN-enhanced Conditional Echocardiogram Generation. CoRR abs/1911.02121 (2019) - [i4]Amir H. Abdi, Purang Abolmaesumi, Sidney S. Fels:
A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics. CoRR abs/1911.11791 (2019) - [i3]Amir H. Abdi, Mohammad H. Jafari, Sidney S. Fels, Teresa Tsang, Purang Abolmaesumi:
A Study into Echocardiography View Conversion. CoRR abs/1912.03120 (2019) - [i2]Amir H. Abdi, Purang Abolmaesumi, Sidney S. Fels:
Variational Learning with Disentanglement-PyTorch. CoRR abs/1912.05184 (2019) - 2018
- [j3]Amir H. Abdi
Fiducial-based fusion of 3D dental models with magnetic resonance imaging. Int. J. Comput. Assist. Radiol. Surg. 13(7): 1109-1115 (2018) - [c6]Mohammad H. Jafari, Hany Girgis, Zhibin Liao, Delaram Behnami, Amir H. Abdi, Hooman Vaseli, Christina Luong
A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data. DLMIA/ML-CDS@MICCAI 2018: 29-37 - [c5]Delaram Behnami, Christina Luong
Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography. DLMIA/ML-CDS@MICCAI 2018: 65-73 - [c4]Nathan Van Woudenberg, Zhibin Liao, Amir H. Abdi, Hani Girgis, Christina Luong
Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 74-81 - [i1]Amir H. Abdi, Pramit Saha, Praneeth Srungarapu, Sidney S. Fels:
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning. CoRR abs/1809.06121 (2018) - 2017
- [j2]Amir H. Abdi
Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View. IEEE Trans. Medical Imaging 36(6): 1221-1230 (2017) - [j1]Amir H. Abdi, Christina Luong, Teresa Tsang, Gregory Allan, Saman Nouranian, John Jue, Dale Hawley, Sarah Fleming, Ken Gin, Jody Swift, Robert Rohling, Purang Abolmaesumi:
Correction to "Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View". IEEE Trans. Medical Imaging 36(9): 1992 (2017) - [c3]Fatemeh Taheri Dezaki, Neeraj Dhungel, Amir H. Abdi, Christina Luong, Teresa Tsang
Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms. DLMIA/ML-CDS@MICCAI 2017: 100-108 - [c2]Amir H. Abdi, Christina Luong
Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes. MICCAI (3) 2017: 302-310 - [c1]Amir H. Abdi, Christina Luong
Automatic quality assessment of apical four-chamber echocardiograms using deep convolutional neural networks. Medical Imaging: Image Processing 2017: 101330S
Coauthor Index
aka: Terasa Tsang
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