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ORCIDMorteza Rohanian
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2020 – today
- 2025
[i12]Morteza Rohanian, Roya M. Hüppi, Farhad Nooralahzadeh, Noemi Dannecker, Yves Pauli
, Werner Surbeck, Iris Sommer, Wolfram Hinzen, Nicolas Langer, Michael Krauthammer, Philipp Homan:
Uncertainty Modeling in Multimodal Speech Analysis Across the Psychosis Spectrum. CoRR abs/2502.18285 (2025)- [i11]Morteza Rohanian, Tarun Mehra, Nicola Miglino, Farhad Nooralahzadeh, Michael Krauthammer, Andreas Wicki:
Towards Scalable and Cross-Lingual Specialist Language Models for Oncology. CoRR abs/2503.08323 (2025) - [i10]Mohammadmahdi Nouriborji, Morteza Rohanian:
Efficient Interleaved Speech Modeling through Knowledge Distillation. CoRR abs/2506.23670 (2025) - [i9]Morteza Rohanian, Michael Krauthammer:
Optimizing Speech Language Models for Acoustic Consistency. CoRR abs/2509.26276 (2025) - [i8]Mohammadmahdi Nouriborji, Morteza Rohanian, Omid Rohanian:
Improving Recursive Transformers with Mixture of LoRAs. CoRR abs/2512.12880 (2025) - 2023
- [j2]Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton:
Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. IEEE J. Biomed. Health Informatics 27(3): 1249-1258 (2023) - [c9]Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer:
Boosting Radiology Report Generation by Infusing Comparison Prior. BioNLP@ACL 2023: 50-61 - [c8]Morteza Rohanian, Farhad Nooralahzadeh, Omid Rohanian, David A. Clifton, Michael Krauthammer:
Disfluent Cues for Enhanced Speech Understanding in Large Language Models. EMNLP (Findings) 2023: 3676-3684 - [c7]Koji Fujimoto, Mizuho Nishio, Chikako Tanaka, Morteza Rohanian, Farhad Nooralahzadeh, Michael Krauthammer, Fabio Rinaldi:
Classification of cancer TNM stage from Japanese radiology report using on-premise LLM at NTCIR-17 MedNLP-SC RR-TNM subtask. NTCIR 2023 - [c6]Mizuho Nishio, Hidetoshi Matsuo, Takaaki Matsunaga, Koji Fujimoto, Morteza Rohanian, Farhad Nooralahzadeh, Fabio Rinaldi, Michael Krauthammer:
Zero-shot classification of TNM staging for Japanese radiology report using ChatGPT at RR-TNM subtask of NTCIR-17 MedNLP-SC. NTCIR 2023 - [i7]Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer:
Boosting Radiology Report Generation by Infusing Comparison Prior. CoRR abs/2305.04561 (2023) - [i6]Amos Calamida, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Michael Krauthammer:
Radiology-Aware Model-Based Evaluation Metric for Report Generation. CoRR abs/2311.16764 (2023) - 2022
- [i5]Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton:
Privacy-aware Early Detection of COVID-19 through Adversarial Training. CoRR abs/2201.03004 (2022) - 2021
- [j1]Shamila Nasreen, Morteza Rohanian, Julian Hough, Matthew Purver:
Alzheimer's Dementia Recognition From Spontaneous Speech Using Disfluency and Interactional Features. Frontiers Comput. Sci. 3: 640669 (2021) - [c5]Morteza Rohanian, Julian Hough:
Best of Both Worlds: Making High Accuracy Non-incremental Transformer-based Disfluency Detection Incremental. ACL/IJCNLP (1) 2021: 3693-3703 - [c4]Morteza Rohanian, Julian Hough, Matthew Purver:
Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs. Interspeech 2021: 3820-3824 - [i4]Morteza Rohanian, Julian Hough, Matthew Purver:
Multi-modal fusion with gating using audio, lexical and disfluency features for Alzheimer's Dementia recognition from spontaneous speech. CoRR abs/2106.09668 (2021) - [i3]Morteza Rohanian, Julian Hough, Matthew Purver:
Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs. CoRR abs/2106.15684 (2021) - 2020
- [c3]Morteza Rohanian, Julian Hough:
Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning. COLING 2020: 497-507 - [c2]Morteza Rohanian, Julian Hough, Matthew Purver:
Multi-Modal Fusion with Gating Using Audio, Lexical and Disfluency Features for Alzheimer's Dementia Recognition from Spontaneous Speech. INTERSPEECH 2020: 2187-2191 - [i2]Morteza Rohanian, Mostafa Salehi, Ali Darzi, Vahid Ranjbar:
Convolutional Neural Networks for Sentiment Analysis in Persian Social Media. CoRR abs/2002.06233 (2020) - [i1]Morteza Rohanian, Julian Hough:
Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning. CoRR abs/2011.06754 (2020)
2010 – 2019
- 2019
- [c1]Morteza Rohanian, Julian Hough, Matthew Purver:
Detecting Depression with Word-Level Multimodal Fusion. INTERSPEECH 2019: 1443-1447
Coauthor Index
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