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Articles by Shan E. Ahmed
Computer Science > Computer Vision and Pattern Recognition
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Computer Science > Artificial Intelligence
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
CORE - A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
MultiSurv: A Multimodal Deep Survival Framework for Prostrate and Bladder Cancer
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Mo’ Money, Mo’ Problems
MetLife Investment Management - By Shan Ahmed, Tani Fukui, Drew Matus Key Takeaways: The Treasury is expected to issue more bills instead of coupon issuance going forward, and that may put more pressure on the Fed in its goal to align its portfolio composition with overall Treasury issuance The Federal government collected a record amount of customs duties in July, but tariff revenue still makes up only a tiny portion of government receipts Given strong Q2 GDP growth, we revised our 2025...
CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns
[2405.01937] An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images
[Submitted on 3 May 2024] Title:An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images View a PDF of the paper titled An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images, by Abdullah Alsalemi and 4 other authors View PDF HTML (experimental) Abstract:Early detection of cancer can help improve patient prognosis by early intervention.
[2311.15847] Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images
[Submitted on 27 Nov 2023 ( v1 ), last revised 16 May 2024 (this version, v2)] Title:Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images View a PDF of the paper titled Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images, by Arwa Al-Rubaian and 5 other authors View PDF HTML (experimental) Abstract:Lung adenocarcinoma is a morphologically heterogeneous disease, characterized by five primary...
[2307.03757] A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia
Oral epithelial dysplasia (OED) is a premalignant histopathological diagnosis given to lesions of the oral cavity. Its grading suffers from significant inter-/intra- observer variability, and does not reliably predict malignancy progression, potentially leading to suboptimal treatment decisions.
Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
Heterogeneous spatial organization of tumor-infiltrating lymphocytes was associated with immune evasion and tumor evolution in NSCLC (2, 33). Specifically, the presence of TLS has been shown to correlate with prolonged survival in NSCLC and a variety of cancer types (28, 33–36). However, immune rich areas beyond TLS are not well studied. Immune-rich areas differ from TLS in terms of cellular densities, organizations, and spatial distributions (37–39).
Spatial positioning of immune hotspots reflects the interplay between B and T cells in lung squamous cell carcinoma
Zhang, H. et al. (2023) Spatial positioning of immune hotspots reflects the interplay between B and T cells in lung squamous cell carcinoma. Cancer Research, (doi: 10.1158/0008-5472.CAN-22-2589) (PMID:36853169) (Early Online Publication) Text 293995.pdf - Accepted Version Available under License Creative Commons Attribution. 9MB Abstract Beyond tertiary lymphoid structures, a significant number of immune rich areas without germinal center-like structures are observed in non-small cell lung cancer.
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures
[Submitted on 26 Aug 2022 ( v1 ), last revised 25 Sep 2023 (this version, v2)] Title:Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures Download a PDF of the paper titled Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures, by Mostafa Jahanifar and 6 other authors Download PDF Abstract:Counting of mitotic figures is a fundamental step in grading and prognostication of several cancers.
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