Sheida Nabavi
Sheida Nabavi
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Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
T Wang, B Li, CE Nelson, S Nabavi
BMC bioinformatics 20, 1-16, 2019
Deep convolutional neural networks for mammography: advances, challenges and applications
D Abdelhafiz, C Yang, R Ammar, S Nabavi
BMC bioinformatics 20, 1-20, 2019
An evaluation of copy number variation detection tools for cancer using whole exome sequencing data
F Zare, M Dow, N Monteleone, A Hosny, S Nabavi
BMC bioinformatics 18, 1-13, 2017
Two-dimensional generalized partial response equalizer for bit-patterned media
S Nabavi, BVKV Kumar
2007 IEEE International Conference on Communications, 6249-6254, 2007
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review
J Bai, R Posner, T Wang, C Yang, S Nabavi
Medical image analysis 71, 102049, 2021
Convolutional neural network for automated mass segmentation in mammography
D Abdelhafiz, J Bi, R Ammar, C Yang, S Nabavi
BMC bioinformatics 21, 1-19, 2020
A unique morphological phenotype in chemoresistant triple-negative breast cancer reveals metabolic reprogramming and PLIN4 expression as a molecular vulnerability
I Sirois, A Aguilar-Mahecha, J Lafleur, E Fowler, V Vu, M Scriver, ...
Molecular Cancer Research 17 (12), 2492-2507, 2019
Epstein–Barr Virus Infection of Mammary Epithelial Cells Promotes Malignant Transformation
H Hu, ML Luo, C Desmet, S Nabavi, S Yadegarynia, A Hong, ...
EBioMedicine, 2016
Application of image processing to characterize patterning noise in self-assembled nano-masks for bit-patterned media
S Nabavi, BVKV Kumar, JA Bain, C Hogg, SA Majetich
IEEE transactions on magnetics 45 (10), 3523-3526, 2009
EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes
S Nabavi, D Schmolze, M Maitituoheti, S Malladi, AH Beck
Bioinformatics 32 (4), 533-541, 2016
Chromosome-breakage genomic instability and chromothripsis in breast cancer
E Przybytkowski, E Lenkiewicz, MT Barrett, K Klein, S Nabavi, ...
BMC genomics 15, 1-15, 2014
Modifying Viterbi algorithm to mitigate intertrack interference in bit-patterned media
S Nabavi, BVKV Kumar, JG Zhu
IEEE transactions on magnetics 43 (6), 2274-2276, 2007
Two-dimensional pulse response and media noise modeling for bit-patterned media
S Nabavi, BVKV Kumar, JA Bain
IEEE Transactions on Magnetics 44 (11), 3789-3792, 2008
SigEMD: A powerful method for differential gene expression analysis in single-cell RNA sequencing data
T Wang, S Nabavi
Methods 145, 25-32, 2018
Signal processing for bit-patterned media channels with inter-track interference
S Nabavi
Carnegie Mellon University, 2008
Single-cell classification using graph convolutional networks
T Wang, J Bai, S Nabavi
BMC bioinformatics 22, 1-23, 2021
The role of deep learning in advancing breast cancer detection using different imaging modalities: a systematic review
M Madani, MM Behzadi, S Nabavi
Cancers 14 (21), 5334, 2022
Residual deep learning system for mass segmentation and classification in mammography
D Abdelhafiz, S Nabavi, R Ammar, C Yang, J Bi
Proceedings of the 10th ACM international conference on bioinformatics …, 2019
Picket-shift codes for bit-patterned media recording with insertion/deletion errors
Y Ng, BVKV Kumar, K Cai, S Nabavi, TC Chong
IEEE Transactions on Magnetics 46 (6), 2268-2271, 2010
Genomic characteristics of trastuzumab-resistant Her2-positive metastatic breast cancer
M de Oliveira Taveira, S Nabavi, Y Wang, P Tonellato, FJ Esteva, ...
Journal of cancer research and clinical oncology 143 (7), 1255-1262, 2017
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