804 citations · 813 across the 5 of their papers we have counts for
5 papers
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images
Amir Hossein Raffiee, Humayun Irshad
Detecting objects in a two-dimensional setting is often insufficient in the context of real-life applications where the surrounding environment needs to be accurately recognized an…
Crowd Sourcing based Active Learning Approach for Parking Sign Recognition
Humayun Irshad, Qazaleh Mirsharif, Jennifer Prendki
Deep learning models have been used extensively to solve real-world problems in recent years. The performance of such models relies heavily on large amounts of labeled data for tra…
Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method
Humayun Irshad, Eun-Yeong Oh, Daniel Schmolze +4
The assessment of protein expression in immunohistochemistry (IHC) images provides important diagnostic, prognostic and predictive information for guiding cancer diagnosis and ther…
Deep Learning for Identifying Metastatic Breast Cancer
Dayong Wang, Aditya Khosla, Rishab Gargeya +2
The International Symposium on Biomedical Imaging (ISBI) held a grand challenge to evaluate computational systems for the automated detection of metastatic breast cancer in whole s…
Multispectral Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology
H. Irshad, A. Gouaillard, L. Roux +1
Accurate detection of mitosis plays a critical role in breast cancer histopathology. Manual detection and counting of mitosis is tedious and subject to considerable inter- and intr…