Sheida Nabavi - RankMe

58 papers Journal 21Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advanced Feature Extraction and Outlier Detection for 3D Biological/Biomedical Image Registration. IEEE Trans. Comput. Biol. Bioinform. Sahand Hamzehei, Jun Bai, Gianna Raimondi, Rebecca Tripp, Linnaea Ostroff, Sheida Nabavi
2025	—	`conf`	Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections. MICCAI (12) Mostafa Karami, Sahand Hamzehei, David Arce, Gianna Raimondi, Linnaea Ostroff, Sheida Nabavi
2025	—	`conf`	Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading. MICCAI (12) Masum Shah Junayed, John Derek Van Vessem, Qian Wan, Gahie Nam, Sheida Nabavi
2025	J	`jnl`	Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading. CoRR Masum Shah Junayed, John Derek Van Vessem, Qian Wan, Gahie Nam, Sheida Nabavi
2025	—	`conf`	Longitudinal Tumor Generation in Mammograms via Dual Encoder GAN and Learnable Blending. BCB Afsana Ahsan Jeny, Sahand Hamzehei, Mostafa Karami, Stephen Andrew Baker, Tucker Van Rathe, Clifford Yang, Sheida Nabavi
2025	—	`conf`	Robust Training of Deep Learning Models for Mammogram Classification. ISBI Josué Martínez-Martínez, Olivia Brown, Jun Bai, Sheida Nabavi
2025	J	`jnl`	Robust Training with Data Augmentation for Medical Imaging Classification. CoRR Josué Martínez-Martínez, Olivia Brown, Mostafa Karami, Sheida Nabavi
2024	—	`conf`	A Fused Transformer-based Model for Gene Expression Prediction using Histopathology Images. BIBM Masum Shah Junayed, Afsana Ahsan Jeny, Sheida Nabavi, Ion Mandoiu
2024	—	`conf`	A Scaled Mask Attention-based Hybrid model for Survival Prediction. BIBM Masum Shah Junayed, Sheida Nabavi
2024	J	`jnl`	A multimodal graph neural network framework for cancer molecular subtype classification. BMC Bioinform. Bingjun Li, Sheida Nabavi
2024	—	`conf`	Benchmarking Distance Functions in Siamese Networks for Current and Prior Mammogram Image Analysis. BIBM Sahand Hamzehei, Afsana Ahsan Jeny, Annie Jin, Clifford Yang, Sheida Nabavi
2024	—	`conf`	CAPTURE: A Clustered Adaptive Patchwork Technique for Unified Registration Enhancement in Biological Imaging. BCB Sahand Hamzehei, Gianna Raimondi, Mostafa Karami, Linnaea Ostroff, Sheida Nabavi
2024	—	`conf`	DCCNV: Enhanced CNV Detection in Single-Cell Sequencing Using Diffusion Process and Contrastive Learning. BCB Mostafa Karami, Bingjun Li, Samson Weiner, Sahand Hamzehei, Sheida Nabavi
2024	J	`jnl`	Improved allele-specific single-cell copy number estimation in low-coverage DNA-sequencing. Bioinform. Samson Weiner, Bingjun Li, Sheida Nabavi
2024	—	`conf`	Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology Images. BIBM Bingjun Li, Mostafa Karami, Masum Shah Junayed, Sheida Nabavi
2024	J	`jnl`	Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology Images. CoRR Bingjun Li, Mostafa Karami, Masum Shah Junayed, Sheida Nabavi
2024	J	`jnl`	Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms. Comput. Medical Imaging Graph. Jun Bai, Annie Jin, Madison Adams, Clifford Yang, Sheida Nabavi
2024	J	`jnl`	Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images. Biomed. Signal Process. Control. Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, Jun Bai, Ankit Bhardwaj, Anna Tarakanova, Harold Yamase, Ga Hie Nam, Sheida Nabavi
2023	—	`conf`	3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection. BCB Sahand Hamzehei, Jun Bai, Gianna Raimondi, Rebecca Tripp, Linnaea Ostroff, Sheida Nabavi
2023	—	`conf`	A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller. ISQED Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam, Sheida Nabavi, Mimi Xie, Caiwen Ding
2023	J	`jnl`	A Multimodal Graph Neural Network Framework for Cancer Molecular Subtype Classification. CoRR Bingjun Li, Sheida Nabavi
2023	—	`conf`	A Scaled Denoising Attention-Based Transformer for Breast Cancer Detection and Classification. MLMI@MICCAI (2) Masum Shah Junayed, Sheida Nabavi
2023	—	`conf`	Addressing Vulnerability in Medical Deep Learning through Robust Training. CAI Josué Martínez-Martínez, Sheida Nabavi
2023	—	`conf`	Contrastive Learning in Single-cell Multiomics Clustering. BCB Bingjun Li, Sheida Nabavi
2023	J	`jnl`	Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms. CoRR Jun Bai, Annie Jin, Madison Adams, Clifford Yang, Sheida Nabavi
2023	—	`conf`	scGEMOC, A Graph Embedded Contrastive Learning Single-cell Multiomics Clustering Model. BIBM Bingjun Li, Sheida Nabavi
2022	—	`conf`	Applying graph convolution neural network in digital breast tomosynthesis for cancer classification. BCB Jun Bai, Annie Jin, Andre Jin, Tianyu Wang, Clifford Yang, Sheida Nabavi
2022	—	`conf`	Semi-supervised classification of disease prognosis using CR images with clinical data structured graph. BCB Jun Bai, Bingjun Li, Sheida Nabavi
2022	J	`jnl`	Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images. CoRR Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, Jun Bai, Ankit Bhardwaj, Anna Tarakanova, Harold Yamase, Ga Hie Nam, Sheida Nabavi
2021	J	`jnl`	Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review. Medical Image Anal. Jun Bai, Russell Posner, Tianyu Wang, Clifford Yang, Sheida Nabavi
2021	—	`conf`	Cancer molecular subtype classification by graph convolutional networks on multi-omics data. BCB Bingjun Li, Tianyu Wang, Sheida Nabavi
2021	—	`conf`	Copy number variation detection using single cell sequencing data. BCB Fatima Zare, Jacob Stark, Sheida Nabavi
2021	—	`conf`	Single-cell RNA sequencing data clustering using graph convolutional networks. BIBM Tianyu Wang, Bingjun Li, Sheida Nabavi
2021	J	`jnl`	Single-cell classification using graph convolutional networks. BMC Bioinform. Tianyu Wang, Jun Bai, Sheida Nabavi
2020	J	`jnl`	Convolutional neural network for automated mass segmentation in mammography. BMC Bioinform. Dina Abdelhafiz, Jinbo Bi, Reda Ammar, Clifford Yang, Sheida Nabavi
2020	—	`conf`	Integrative Deep Learning for PanCancer Molecular Subtype Classification Using Histopathological Images and RNAseq Data. BCB Fatima Zare, Javad Noorbakhsh, Tianyu Wang, Jeffrey H. Chuang, Sheida Nabavi
2020	J	`jnl`	Preprocessing Sequence Coverage Data for More Precise Detection of Copy Number Variations. IEEE ACM Trans. Comput. Biol. Bioinform. Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi
2019	J	`jnl`	Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data. BMC Bioinform. Tianyu Wang, Boyang Li, Craig E. Nelson, Sheida Nabavi
2019	—	`conf`	Copy Number Variation Detection Using Total Variation. BCB Fatima Zare, Sheida Nabavi
2019	J	`jnl`	Deep convolutional neural networks for mammography: advances, challenges and applications. BMC Bioinform. Dina Abdelhafiz, Clifford Yang, Reda Ammar, Sheida Nabavi
2019	—	`conf`	Residual Deep Learning System for Mass Segmentation and Classification in Mammography. BCB Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi
2019	—	`conf`	Single-cell RNAseq Imputation Based on Matrix Completion with Side Information. BIBM Tianyu Wang, Sheida Nabavi
2018	—	`conf`	Convolutional Neural Network for Automated Mass Segmentation in Mammography. ICCABS Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi
2018	—	`conf`	Copy number variation detection using partial alignment information. BIBM Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi
2018	J	`jnl`	Noise cancellation using total variation for copy number variation detection. BMC Bioinform. Fatima Zare, Abdelrahman Hosny, Sheida Nabavi
2018	—	`conf`	Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas. BIBM Nurislam Tursynbek, Ghazal Ghahramany, Sheida Nabavi, Amin Zollanvari
2018	—	`conf`	Single-cell Clustering Based on Word Embedding and Nonparametric Methods. BCB Tianyu Wang, Sheida Nabavi
2017	J	`jnl`	An evaluation of copy number variation detection tools for cancer using whole exome sequencing data. BMC Bioinform. Fatima Zare, Michelle Dow, Nicholas Monteleone, Abdelrahman Hosny, Sheida Nabavi
2017	—	`conf`	Bias and Noise Cancellation for Robust Copy Number Variation Detection. BCB Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi
2017	—	`conf`	Differential gene expression analysis in single-cell RNA sequencing data. BIBM Tianyu Wang, Sheida Nabavi
2017	—	`conf`	Noise cancellation for robust copy number variation detection using next generation sequencing data. BIBM Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi
2017	—	`conf`	Survey on deep convolutional neural networks in mammography. ICCABS Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang
2017	—	`conf`	Varsimlab: A Docker-based Pipeline to Automatically Synthesize Short Reads with Genomic Aberrations. BCB Abdelrahman Hosny, Fatima Zare, Sheida Nabavi
2016	J	`jnl`	EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes. Bioinform. Sheida Nabavi, Daniel Schmolze, Mayinuer Maitituoheti, Sadhika Malladi, Andrew H. Beck
2015	—	`conf`	Earth mover's distance for differential analysis of heterogeneous genomics data. GlobalSIP Sheida Nabavi, Andrew H. Beck
2010	J	`jnl`	An Analytical Approach for Performance Evaluation of Bit-Patterned Media Channels. IEEE J. Sel. Areas Commun. Sheida Nabavi, Seungjune Jeon, B. V. K. Vijaya Kumar
2008	—	`conf`	Mitigating the Effects of Track Mis-Registration in Bit-Patterned Media. ICC Sheida Nabavi, B. V. K. Vijaya Kumar, James A. Bain
2007	—	`conf`	Two-Dimensional Generalized Partial Response Equalizer for Bit-Patterned Media. ICC Sheida Nabavi, B. V. K. Vijaya Kumar