Alexander S. Baras

According to our database, Alexander S. Baras authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Virtual 3D H&E Staining from Phase-contrast Back-illumination Interference Tomography.

Anthony A. Song, Boyan Zhou, Mayank Golhar, Marisa Morakis, Alexander S. Baras, Nicholas J. Durr

CoRR, May, 2026

2025

AI-driven 3D Spatial Transcriptomics.

Cristina Almagro-Pérez, Andrew H. Song, Luca L. Weishaupt, Ahrong Kim, Guillaume Jaume, Drew F. K. Williamson, Konstantin Hemker, Ming Y. Lu, Kritika Singh, Bowen Chen, Long Phi Le, Alexander S. Baras, Sizun Jiang, Ali Bashashati, Jonathan T. C. Liu, Faisal Mahmood

CoRR, February, 2025

CEMIL: Contextual Attention Based Efficient Weakly Supervised Approach for Histopathology Image Classification.

Tawsifur Rahman, Alexander S. Baras, Rama Chellappa

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology.

Haoyang Mi, Shamilene Sivagnanam, Won Jin Ho, Shuming Zhang, Daniel R. Bergman, Atul Deshpande, Alexander S. Baras, Elizabeth M. Jaffee, Lisa M. Coussens, Elana J. Fertig, Aleksander S. Popel

Briefings Bioinform., September, 2024

Multimodal Prototyping for cancer survival prediction.

Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples.

Andrew H. Song, Mane Williams, Drew F. K. Williamson, Guillaume Jaume, Andrew Zhang, Bowen Chen, Robert Serafin, Jonathan T. C. Liu, Alexander S. Baras, Anil V. Parwani, Faisal Mahmood

CoRR, 2023

2020

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images.

Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr

IEEE Trans. Medical Imaging, 2020

Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks.

Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data.

Faisal Mahmood, Richard Chen, Daniel Borders, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

2018

miRge 2.0 for comprehensive analysis of microRNA sequencing data.

Yin Lu, Alexander S. Baras, Marc K. Halushka

BMC Bioinform., 2018

2016

A benchmark for microRNA quantification algorithms using the OpenArray platform.

Matthew N. McCall, Alexander S. Baras, Alexander Crits-Christoph, Roxann Ingersoll, Melissa A. McAlexander, Kenneth W. Witwer, Marc K. Halushka

BMC Bioinform., 2016