Neil A. Tenenholtz

Orcid: 0000-0003-1250-3716

According to our database1, Neil A. Tenenholtz authored at least 20 papers between 2011 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.
CoRR, 2024

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.
CoRR, 2024

Adapting Self-Supervised Learning for Computational Pathology.
CoRR, 2024

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models.
CoRR, 2024

Improving Mitosis Detection on Histopathology Images Using Large Vision-Language Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations.
CoRR, 2023

Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification.
CoRR, 2022

2021
Initialization and Regularization of Factorized Neural Layers.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets.
J. Digit. Imaging, 2020

2019
4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

2015
Missteps in Robot Social Navigation.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2013
Fast Simulation of Mitral Annuloplasty for Surgical Planning.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013

2011
Patient-Specific Mitral Leaflet Segmentation from 4D Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

On the design of an interactive, patient-specific surgical simulator for mitral valve repair.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011


  Loading...