Name: Nadeem Lab @ Memorial Sloan Kettering Cancer Center
Type: Organization
Bio: Integrative Biomedical Data Analysis Lab (macro: radiology/surgery + meso: pathology + micro: molecular)
Location: New York, NY
Blog: https://nadeemlab.org/
Nadeem Lab @ Memorial Sloan Kettering Cancer Center's Projects
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
Create cell graphs from pathology slide data and train a graph neural network to predict patient outcomes for SPT.
Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]
Exact test for significant feature combination
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Domain knowledge driven 3D radiation dose prediction [PMB'22]
Interactive deep learning whole-cell segmentation and thresholding using partial annotations
Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]
Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]
Spatial profiling toolbox for spatial characterization of tumor immune microenvironment in multiplex images
SPT plugin providing default graph deep learning functionality
Template for SPT plugin development
A graph-transformer for whole slide image classification