HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models

13 May 2024

Papers citing "HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models"

7 / 7 papers shown

Title
Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia Sabeen Ahmed Nathan Parker Margaret Park Evan W. Davis Jennifer B. Permuth M. Schabath Yasin Yilmaz Ghulam Rasool 36 0 0 09 Mar 2025
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes Asim Waqas Aakash Tripathi Paul Stewart Mia Naeini Ghulam Rasool AI4CE 26 0 0 11 Jun 2024
Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review Iryna Hartsock Ghulam Rasool 38 60 0 04 Mar 2024
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 63 29 0 25 Nov 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 32 29 0 11 Mar 2023
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 158 634 0 27 Oct 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 275 10,544 0 19 Feb 2017