Building Flexible, Scalable, and Machine Learning-ready Multimodal
Oncology Datasets

Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets

30 September 2023

Aakash Tripathi

Kavya Venkatesan

Papers citing "Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets"

8 / 8 papers shown

Title
Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis Sabeen Ahmed Nathan Parker Margaret Park Daniel Jeong Lauren Peres ... Jennifer B. Permuth Erin Siegel M. Schabath Yasin Yilmaz Ghulam Rasool 39 0 0 19 Mar 2025
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 38 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 34 3 0 11 Jun 2024
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models Aakash Tripathi Asim Waqas Yasin Yilmaz Ghulam Rasool 36 5 0 13 May 2024
Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review Iryna Hartsock Ghulam Rasool 38 62 0 04 Mar 2024
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models Ian E. Nielsen Ravichandran Ramachandran N. Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool AAML FAtt 41 7 0 15 Mar 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 31 0 11 Mar 2023
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 51 82 0 07 Sep 2022