Fast supervised feature extraction by term discrimination information pooling. - Amara Tariq; Asim Karim (CIKM, 2011)

Exploiting Topical Perceptions over Multi-Lingual Text for Hashtag Suggestion on Twitter. - Amara Tariq; Asim Karim; Fernando Gomez; Hassan Foroosh (FLAIRS, 2013)

Scene-based automatic image annotation. - Amara Tariq; Hassan Foroosh (ICIP, 2014)

Feature-independent context estimation for automatic image annotation. - Amara Tariq; Hassan Foroosh (CVPR, 2015)

T-clustering: Image clustering by tensor decomposition. - Amara Tariq; Hassan Foroosh (ICIP, 2015)

Image Annotation using Multi-Layer Sparse Coding. - Amara Tariq; Hassan Foroosh (CoRR, 2017)

Learning Semantics for Image Annotation. - Amara Tariq; Hassan Foroosh (CoRR, 2017)

NELasso: Group-Sparse Modeling for Characterizing Relations Among Named Entities in News Articles. - Amara Tariq; Asim Karim; Hassan Foroosh (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

A Context-Driven Extractive Framework for Generating Realistic Image Descriptions. - Amara Tariq; Hassan Foroosh (IEEE Trans. Image Process., 2017)

Designing a symmetric classifier for image annotation using multi-layer sparse coding. - Amara Tariq; Hassan Foroosh (Image Vis. Comput., 2018)

Comparative Study Of Deep Learning Algorithms For Disease And Pest Detection In Rice Crops. - Syeda Airas Burhan; Sidra Minhas; Amara Tariq; Muhammad Nabeel Hassan (ECAI, 2020)

Domain Adaptation For Lane Marking: An Unsupervised Approach. - Ammar Saqib; Sarah Sajid; Sheikh Mahad Arif; Amara Tariq; Nazim Ashraf (ICIP, 2020)

Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications. - Imon Banerjee; Priyanshu Sinha; Saptarshi Purkayastha; Nazanin Mashhaditafreshi; Amara Tariq; Jiwoong Jason Jeong; Hari Trivedi; Judy W. Gichoya (CoRR, 2020)

Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs. - Nazanin Mashhaditafreshi; Amara Tariq; Judy Wawira Gichoya; Imon Banerjee (CoRR, 2020)

Query bot for retrieving patients' clinical history: A COVID-19 use-case. - Yibo Wang 001; Amara Tariq; Fiza Khan; Judy Wawira Gichoya; Hari Trivedi; Imon Banerjee (J. Biomed. Informatics, 2021)

Patient-specific COVID-19 resource utilization prediction using fusion AI model. - Amara Tariq; Leo Anthony Celi; Janice M. Newsome; Saptarshi Purkayastha; Neal Kumar Bhatia; Hari Trivedi; Judy Wawira Gichoya; Imon Banerjee (npj Digit. Medicine, 2021)

Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (AMIA, 2022)

Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma. - Amara Tariq; Omar Kallas; Patricia C. Balthazar; Scott Jeffery Lee; Terry Desser; Daniel L. Rubin; Judy Wawira Gichoya; Imon Banerjee (J. Biomed. Semant., 2022)

Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. - Siyi Tang; Amara Tariq; Jared Dunnmon; Umesh Sharma; Praneetha Elugunti; Daniel L. Rubin; Bhavik N. Patel; Imon Banerjee (CoRR, 2022)

PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain. - Thiago Santos; Amara Tariq; Susmita Das; Kavyasree Vayalpati; Geoffrey H. Smith; Hari Trivedi; Imon Banerjee (CoRR, 2022)

Bridging the Gap between Structured and Free-form Radiology Reporting: A Case-study on Coronary CT Angiography. - Amara Tariq; Marly van Assen; Carlo Nicola De Cecco; Imon Banerjee (ACM Trans. Comput. Heal., 2022)

Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation. - Jiwoong Jason Jeong; Amara Tariq; Tobiloba Adejumo; Hari Trivedi; Judy W. Gichoya; Imon Banerjee (J. Digit. Imaging, 2022)

A Socio-Technical Approach for Resilient Connected Transportation Systems in Smart Cities. - Tanushree Roy; Amara Tariq; Satadru Dey (IEEE Trans. Intell. Transp. Syst., 2022)

Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (NER, 2023)

Graph convolutional network-based fusion model to predict risk of hospital acquired infections. - Amara Tariq; Lin Lancaster; Praneetha Elugunti; Eric Siebeneck; Katherine Noe; Bijan Borah; James Moriarty; Imon Banerjee; Bhavik N. Patel (J. Am. Medical Informatics Assoc., 2023)

Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. - Siyi Tang; Amara Tariq; Jared A. Dunnmon; Umesh Sharma; Praneetha Elugunti; Daniel L. Rubin; Bhavik N. Patel; Imon Banerjee (IEEE J. Biomed. Health Informatics, 2023)

Contrastive diagnostic embedding (CDE) model for automated coding - A case study using emergency department encounters. - Amara Tariq; Kris Goddard; Praneetha Elugunti; Kristina Piorkowski; Jared Staal; Allison Viramontes; Imon Banerjee; Bhavik N. Patel (Int. J. Medical Informatics, 2023)

Multi-modal Predictive Model for MACE Risk Estimation in Patients with Migraine. - Amara Tariq; Oana M. Dumitrascu; Man Luo; Gina Dumkrieger; Todd J. Schwedt; Catherine D. Chong; Imon Banerjee (ICHI, 2024)

Knowledge-Grounded Adaptation Strategy for Vision-Language Models: Building a Unique Case-Set for Screening Mammograms for Residents Training. - Aisha Urooj Khan; John W. Garrett; Tyler J. Bradshaw; Lonie Salkowski; Jiwoong Jason Jeong; Amara Tariq; Imon Banerjee (MICCAI (12), 2024)

Adaptable graph neural networks design to support generalizability for clinical event prediction. - Amara Tariq; Gurkiran Kaur; Leon Su; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (J. Biomed. Informatics, 2025)

Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports. - David Le; Ramon L. Correa-Medero; Amara Tariq; Bhavik N. Patel; Motoyo Yano; Imon Banerjee (CoRR, 2025)

Patient-centric Summarization of Radiology Findings Using Two-step Training of Large Language Models. - Amara Tariq; Shubham Trivedi; Aisha Urooj; Gokul Ramasamy; Sam Fathizadeh; Matthew Stib; Nelly Tan; Bhavik N. Patel; Imon Banerjee (ACM Trans. Comput. Heal., 2025)

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare. - Amara Tariq; Rimita Lahiri; Charles Kahn; Imon Banerjee (CoRR, 2025)