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2020 – today
- 2024
[j3]Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul A. Stewart, Ghulam Rasool:
Multimodal data integration for oncology in the era of deep neural networks: a review. Frontiers Artif. Intell. 7 (2024)- [j2]Aakash Tripathi
, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool:
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors 24(5): 1634 (2024) - [i6]Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool:
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. CoRR abs/2405.07460 (2024) - [i5]Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, Paul Stewart, Mia Naeini, Ghulam Rasool:
SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology. CoRR abs/2405.08226 (2024) - [i4]Asim Waqas, Aakash Tripathi, Paul Stewart, Mia Naeini, Ghulam Rasool:
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. CoRR abs/2406.08521 (2024) - 2023
- [j1]Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi Prakash Ramachandran, Ghulam Rasool:
Transformers in Time-Series Analysis: A Tutorial. Circuits Syst. Signal Process. 42(12): 7433-7466 (2023) - [c1]Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi Prakash Ramachandran, Aakash Tripathi, Ghulam Rasool:
A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU. ISCAS 2023: 1-5 - [i3]Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul Stewart, Ghulam Rasool:
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review. CoRR abs/2303.06471 (2023) - [i2]Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool:
Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets. CoRR abs/2310.01438 (2023) - 2022
- [i1]Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran:
Transformers in Time-series Analysis: A Tutorial. CoRR abs/2205.01138 (2022)
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