Dr. Can See: Towards a Multi-modal Disease Diagnosis Virtual Assistant. - Abhisek Tiwari; Manisimha Manthena; Sriparna Saha 001; Pushpak Bhattacharyya; Minakshi Dhar; Sarbajeet Tiwari (CIKM, 2022)

Symptoms are known by their companies: towards association guided disease diagnosis assistant. - Abhisek Tiwari; Tulika Saha; Sriparna Saha 001; Pushpak Bhattacharyya; Shemim Begum; Minakshi Dhar; Sarbajeet Tiwari (BMC Bioinform., 2022)

Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization. - Abhisek Tiwari; Anisha Saha; Sriparna Saha 001; Pushpak Bhattacharyya; Minakshi Dhar (CIKM, 2023)

Local context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering. - Abhisek Tiwari; Aman Bhansali; Sriparna Saha 001; Pushpak Bhattacharyya; Preeti Verma; Minakshi Dhar (ECAI, 2023)

Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm. - Gokul Krishnan; Shiana Singh; Monika Pathania; Siddharth Gosavi; Shuchi Abhishek; Ashwin Parchani; Minakshi Dhar (Frontiers Artif. Intell., 2023)

Toward Symptom Assessment Guided Symptom Investigation and Disease Diagnosis. - Abhisek Tiwari; Rishav Raj; Sriparna Saha 001; Pushpak Bhattacharyya; Sarbajeet Tiwari; Minakshi Dhar (IEEE Trans. Artif. Intell., 2023)

Seeing Is Believing! towards Knowledge-Infused Multi-modal Medical Dialogue Generation. - Abhisek Tiwari; Shreyangshu Bera; Preeti Verma; Jaithra Varma Manthena; Sriparna Saha 001; Pushpak Bhattacharyya; Minakshi Dhar; Sarbajeet Tiwari (LREC/COLING, 2024)

Learning from Failure: Towards Developing a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses. - Abhisek Tiwari; Swarna S; Sriparna Saha 001; Pushpak Bhattacharyya; Minakshi Dhar; Sarbajeet Tiwari (Cogn. Comput., 2024)