Detecting Depression with Word-Level Multimodal Fusion. - Morteza Rohanian; Julian Hough; Matthew Purver (INTERSPEECH, 2019)

Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning. - Morteza Rohanian; Julian Hough (COLING, 2020)

Multi-Modal Fusion with Gating Using Audio, Lexical and Disfluency Features for Alzheimer's Dementia Recognition from Spontaneous Speech. - Morteza Rohanian; Julian Hough; Matthew Purver (INTERSPEECH, 2020)

Convolutional Neural Networks for Sentiment Analysis in Persian Social Media. - Morteza Rohanian; Mostafa Salehi; Ali Darzi; Vahid Ranjbar (CoRR, 2020)

Best of Both Worlds: Making High Accuracy Non-incremental Transformer-based Disfluency Detection Incremental. - Morteza Rohanian; Julian Hough (ACL/IJCNLP (1), 2021)

Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs. - Morteza Rohanian; Julian Hough; Matthew Purver (Interspeech, 2021)

Alzheimer's Dementia Recognition From Spontaneous Speech Using Disfluency and Interactional Features. - Shamila Nasreen; Morteza Rohanian; Julian Hough; Matthew Purver (Frontiers Comput. Sci., 2021)

Boosting Radiology Report Generation by Infusing Comparison Prior. - Sanghwan Kim; Farhad Nooralahzadeh; Morteza Rohanian; Koji Fujimoto; Mizuho Nishio; Ryo Sakamoto; Fabio Rinaldi 001; Michael Krauthammer (BioNLP@ACL, 2023)

Disfluent Cues for Enhanced Speech Understanding in Large Language Models. - Morteza Rohanian; Farhad Nooralahzadeh; Omid Rohanian; David A. Clifton; Michael Krauthammer (EMNLP (Findings), 2023)

Classification of cancer TNM stage from Japanese radiology report using on-premise LLM at NTCIR-17 MedNLP-SC RR-TNM subtask. - Koji Fujimoto; Mizuho Nishio; Chikako Tanaka; Morteza Rohanian; Farhad Nooralahzadeh; Michael Krauthammer; Fabio Rinaldi 001 (NTCIR, 2023)

Zero-shot classification of TNM staging for Japanese radiology report using ChatGPT at RR-TNM subtask of NTCIR-17 MedNLP-SC. - Mizuho Nishio; Hidetoshi Matsuo; Takaaki Matsunaga; Koji Fujimoto; Morteza Rohanian; Farhad Nooralahzadeh; Fabio Rinaldi 001; Michael Krauthammer (NTCIR, 2023)

Radiology-Aware Model-Based Evaluation Metric for Report Generation. - Amos Calamida; Farhad Nooralahzadeh; Morteza Rohanian; Koji Fujimoto; Mizuho Nishio; Michael Krauthammer (CoRR, 2023)

Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. - Omid Rohanian; Samaneh Kouchaki; Andrew A. S. Soltan; Jenny Yang; Morteza Rohanian; Yang Yang 125; David A. Clifton (IEEE J. Biomed. Health Informatics, 2023)

Uncertainty Modeling in Multimodal Speech Analysis Across the Psychosis Spectrum. - Morteza Rohanian; Roya M. Hüppi; Farhad Nooralahzadeh; Noemi Dannecker; Yves Pauli; Werner Surbeck; Iris Sommer; Wolfram Hinzen; Nicolas Langer; Michael Krauthammer; Philipp Homan (CoRR, 2025)

Towards Scalable and Cross-Lingual Specialist Language Models for Oncology. - Morteza Rohanian; Tarun Mehra; Nicola Miglino; Farhad Nooralahzadeh; Michael Krauthammer; Andreas Wicki (CoRR, 2025)

Efficient Interleaved Speech Modeling through Knowledge Distillation. - Mohammadmahdi Nouriborji; Morteza Rohanian (CoRR, 2025)