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ORCIDSadegh R. Alam
Person information
- affiliation: Memorial Sloan Kettering Cancer Center, Department of Medical Physics, NY, USA
- affiliation (PhD 2015): Politecnico di Torino, Department of Biomedical engineering, Italy
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2020 – today
- 2021
[j1]Wookjin Choi
, Saad Nadeem, Sadegh R. Alam, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu:
Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening. Comput. Methods Programs Biomed. 200: 105839 (2021)- [i7]Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. CoRR abs/2102.08556 (2021) - [i6]Navdeep Dahiya, Sadegh R. Alam, Pengpeng Zhang, Si-Yuan Zhang, Anthony J. Yezzi, Saad Nadeem:
Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation. CoRR abs/2103.05690 (2021) - [i5]Donghoon Lee, Sadegh R. Alam, Jue Jiang, Pengpeng Zhang, Saad Nadeem, Yu-Chi Hu:
Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy. CoRR abs/2106.09076 (2021) - 2020
- [c3]Donghoon Lee, Sadegh R. Alam, Saad Nadeem, Jue Jiang, Pengpeng Zhang, Yu-Chi Hu:
Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning. PRIME@MICCAI 2020: 123-132 - [i4]Sadegh R. Alam, Tianfang Li, Si-Yuan Zhang, Pengpeng Zhang, Saad Nadeem:
Generalizable Cone Beam CT Esophagus Segmentation Using In Silico Data Augmentation. CoRR abs/2006.15713 (2020)
2010 – 2019
- 2019
- [i3]Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joseph O. Deasy, Harini Veeraraghavan, Neelam Tyagi:
Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning. CoRR abs/1902.00536 (2019) - 2018
- [c2]Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu:
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. DATRA/PIPPI@MICCAI 2018: 31-41 - [c1]Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu:
Interpretable Spiculation Quantification for Lung Cancer Screening. ShapeMI@MICCAI 2018: 38-48 - [i2]Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu:
Interpretable Spiculation Quantification for Lung Cancer Screening. CoRR abs/1808.08307 (2018) - [i1]Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu:
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. CoRR abs/1808.08312 (2018)
Coauthor Index
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