NeuroTransDB: highly curated and structured transcriptomic metadata for neurodegenerative diseases. - Shweta Bagewadi Kawalia; Subash Adhikari; Anjani Dhrangadhariya; Afroza Khanam Irin; Christian Ebeling; Aishwarya Alex Namasivayam; Matthew Page; Martin Hofmann-Apitius; Philipp Senger (Database J. Biol. Databases Curation, 2015)

Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing. - Anjani Dhrangadhariya; Sebastian Otálora; Manfredo Atzori; Henning Müller (ICPR Workshops (1), 2020)

Machine Learning Assisted Citation Screening for Systematic Reviews. - Anjani Dhrangadhariya; Roger Hilfiker; Roger Schaer; Henning Müller (MIE, 2020)

Automating Quality Control for Structured Standardized Radiology Reports Using Text Analysis. - Anjani Dhrangadhariya; Sandy Millius; Cyril Thouly; Benoit Rizk; Dominique Fournier; Henning Müller; Hugues Brat (MIE, 2020)

Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction. - Henning Müller; Vincent Andrearczyk; Oscar Alfonso Jiménez del Toro; Anjani Dhrangadhariya; Roger Schaer; Manfredo Atzori (MMM (2), 2020)

End-to-End Fine-Grained Neural Entity Recognition of Patients, Interventions, Outcomes. - Anjani Dhrangadhariya; Gustavo Aguilar; Thamar Solorio; Roger Hilfiker; Henning Müller (CLEF, 2021)

DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature. - Anjani Dhrangadhariya; Henning Müller (BioNLP@ACL, 2022)

DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature. - Anjani Dhrangadhariya; Henning Müller (Zenodo, 2022)

DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature. - Anjani Dhrangadhariya; Henning Müller (Zenodo, 2022)

First Steps Towards a Risk of Bias Corpus of Randomized Controlled Trials. - Anjani Dhrangadhariya; Roger Hilfiker; Martin Sattelmayer; Katia Giacomino; Rahel Caliesch; Simone Elsig; Nona Naderi; Henning Müller (MIE, 2023)

HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction. - Anjani Dhrangadhariya; Wojciech Kusa; Henning Müller; Allan Hanbury (SemEval@ACL, 2023)

Towards Semantic Modeling of Patient Trajectories for Rehabilitation of Osteoarthritis. - Gaetano Manzo; Benjamin Pocklington; Yvan Pannatier; Cathy Gay; Anjani Dhrangadhariya; Sophie Carrard; Roger Hilfiker; Jean-Paul Calbimonte (SWAT4HCLS, 2023)

First Steps towards a Risk of Bias Corpus of Randomized Controlled Trials. - Anjani Dhrangadhariya; Roger Hilfiker; Martin Sattelmayer; Katia Giacomino; Rahel Caliesch; Simone Elsig; Nona Naderi; Henning Müller (Zenodo, 2023)

First Steps towards a Risk of Bias Corpus of Randomized Controlled Trials. - Anjani Dhrangadhariya; Roger Hilfiker; Martin Sattelmayer; Katia Giacomino; Rahel Caliesch; Simone Elsig; Nona Naderi; Henning Müller (Zenodo, 2023)

First Steps towards a Risk of Bias Corpus of Randomized Controlled Trials. - Anjani Dhrangadhariya; Roger Hilfiker; Martin Sattelmayer; Katia Giacomino; Rahel Caliesch; Simone Elsig; Nona Naderi; Henning Müller (Zenodo, 2023)

Dataset for Machine Learning Assisted Citation Screening for Systematic Reviews. - Anjani Dhrangadhariya; Roger Hilfiker; Henning Müller (Zenodo, 2023)

PICO to PICOS: Weak Supervision to Extend Datasets with New Labels. - Anjani Dhrangadhariya; Gaetano Manzo; Henning Müller (MIE, 2024)