Research Output

Publications

A comprehensive list of my peer-reviewed publications, preprints, and book chapters.

Google Scholar ORCID

Peer-Reviewed Publications

1
npj Digital Medicine (2025)

HONeYBEE: Enabling Scalable Multimodal AI in Oncology Through Foundation Model-Driven Embeddings

Tripathi A*, Waqas A*, Schabath MB, Yilmaz Y, Rasool G

8(1): 622

View Publication
2
Laboratory Investigation (2025)

Using Consensus-Based Reasoning and Large Language Models to Extract Structured Data from Surgical Pathology Reports

Tripathi A*, Waqas A*, Venkatesan K, Ullah E, Khan A, Khalil F, Chen WS, et al.

104272

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3
International Journal of Molecular Sciences (2025)

Self-Normalizing Multi-Omics Neural Network for Pan-Cancer Prognostication

Waqas A*, Tripathi A*, Ahmed S, Mukund A, Farooq H, Schabath MB, Stewart P, Naeini M, Rasool G

26(15): 7358

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4
Radiology: Artificial Intelligence (2025)

Privacy-Preserving Federated Learning and Uncertainty Quantification in Medical Imaging

Koutsoubis N, Waqas A, Yilmaz Y, Ramachandran RP, Schabath MB, Rasool G

e240637

View Publication
5
Cancer Medicine (2025)

Habitat Radiomics Predict HPV Status in Oropharyngeal Cancer

Altinok O, Rasool G, Waqas A, Schabath MB, Guvenis A

14(24): e71481

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6
Cancer Informatics (2025)

Robust Multimodal Fusion for Survival Prediction in Cancer Patients

Flack D, Tripathi A, Waqas A, Rasool G, Dera D

24: 11769351251376192

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7
Advances in Anatomic Pathology (2025)

Multimodal Generative AI for Anatomic Pathology - A Review of Current Applications to Envisage the Future Direction

Ullah E, Baig MM, Waqas A, Rasool G, Singh R, Shandilya A, Hossieni HG, Parwani AV

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8
BJR|Artificial Intelligence (2024)

Digital Pathology and Multimodal Learning on Oncology Data

Waqas A, Shahnawaz W, Naveed J, Asghar S, Bui M, Rasool G

ubae014

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9
Frontiers in Artificial Intelligence (2024)

Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review

Waqas A*, Tripathi A*, Ramachandran RP, Stewart P, Rasool G

7: 1408843

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10
Sensors (2024)

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

Tripathi A*, Waqas A*, Venkatesan K, Yilmaz Y, Rasool G

24(5): 1634

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11
Laboratory Investigation (2023)

Revolutionizing Digital Pathology with the Power of Generative Artificial Intelligence and Foundation Models

Waqas A, Bui MM, Glassy EF, El Naqa I, Borkowski P, Borkowski AA, Rasool G

100255

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12
Communications Engineering (Nature Portfolio) (2022)

Exploring Robust Architectures for Deep Artificial Neural Networks

Waqas A, Bouaynaya N, Farooq H, Rasool G

46

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Preprints & Under Review

medRxiv (2025)

Reasoning Beyond Accuracy: Expert Evaluation of Large Language Models in Diagnostic Pathology

Waqas A*, Ullah E*, Khan A, Khalil F, Ozturk ZG, Chumbalkar V, Saeed-Vafa D, et al.

Under review at Elsevier Modern Pathology

View Preprint
arXiv (2025)

EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis

Tripathi A*, Waqas A*, Yilmaz Y, Schabath MB, Rasool G

View Preprint
arXiv (2024)

Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes

Waqas A*, Tripathi A*, Stewart P, Naeini M, Schabath MB, Rasool G

View Preprint

Book Chapters

Springer, Cham (2021)

Brain Tumor Segmentation and Surveillance with Deep Artificial Neural Networks

Waqas A, Dera D, Rasool G, Bouaynaya N, Fathallah-Shaykh HM

In: Deep Learning for Biomedical Data Analysis

View Chapter