Chad M. Vanderbilt
According to our database1,
Chad M. Vanderbilt
authored at least 10 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling.
CoRR, 2024
2023
Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.
CoRR, 2023
2022
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction.
CoRR, 2022
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma.
CoRR, 2022
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation.
CoRR, 2022
2021
Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center.
J. Am. Medical Informatics Assoc., 2021
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
2020
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019