Michail Mamalakis

25 papers Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Large Language Models. CoRR Michail Mamalakis, Tiago Azevedo, Cristian Cosentino, Chiara D'Ercoli, Subati Abulikemu, Zhongtian Sun, Richard A. I. Bethlehem, Pietro Lio
2026	J	`jnl`	An explainable three dimensional framework to uncover learning patterns: A unified look in variable sulci recognition. Artif. Intell. Medicine Michail Mamalakis, Héloïse de Vareilles, Atheer Al-Manea, Samantha C. Mitchell, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray
2025	J	`jnl`	Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia. CoRR Subati Abulikemu, Puria Radmard, Michail Mamalakis, John Suckling
2025	J	`jnl`	Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks. AI Open Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio
2025	J	`jnl`	Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods. CoRR Carmen Jimenez-Mesa, Yizhou Wan, Guilio Sansone, Francisco Jesús Martínez-Murcia, Javier Ramírez, Pietro Lio, Juan Manuel Górriz, Stephen J. Price, John Suckling, Michail Mamalakis
2025	J	`jnl`	Unified Generative Latent Representation for Functional Brain Graphs. CoRR Subati Abulikemu, Tiago Azevedo, Michail Mamalakis, John Suckling
2024	—	`conf`	A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. BIBM Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang
2024	J	`jnl`	A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. CoRR Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang
2024	J	`jnl`	A novel pipeline employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy. Comput. Biol. Medicine Michail Mamalakis, Sarah C. Macfarlane, Scott V. Notley, Annica K. B. Gad, George Panoutsos
2024	J	`jnl`	Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification. CoRR Michail Mamalakis, Héloïse de Vareilles, Shun-Chin Jim Wu, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray
2024	J	`jnl`	Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning. Neural Comput. Appl. Michail Mamalakis, Abhirup Banerjee, Surajit Ray, Craig Wilkie, Richard H. Clayton, Andrew J. Swift, George Panoutsos, Bart Vorselaars
2024	J	`jnl`	Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon L. F. Walsh, Guang Yang
2024	J	`jnl`	Solving the enigma: Deriving optimal explanations of deep networks. CoRR Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio
2024	J	`jnl`	The Explanation Necessity for Healthcare AI. CoRR Michail Mamalakis, Héloïse de Vareilles, Graham K. Murray, Pietro Lio, John Suckling
2024	—	`conf`	TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. BIBM Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang
2024	J	`jnl`	TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. CoRR Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang
2023	J	`jnl`	A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition. CoRR Michail Mamalakis, Héloïse de Vareilles, Atheer AI-Manea, Samantha C. Mitchell, Ingrid Agartz, Lynn Egeland Morch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray
2023	J	`jnl`	A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy. CoRR Michail Mamalakis, Sarah C. Macfarlane, Scott V. Notley, Annica K. B. Gad, George Panoutsos
2023	J	`jnl`	Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar. Artif. Intell. Medicine Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, James M. Wild, Richard H. Clayton
2023	J	`jnl`	Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle. Comput. Medical Imaging Graph. Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, Jim M. Wild, Richard H. Clayton
2023	J	`jnl`	Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Athol Wells, Simon Walsh, Guang Yang
2021	J	`jnl`	DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Comput. Medical Imaging Graph. Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
2021	J	`jnl`	DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. CoRR Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
2021	J	`jnl`	MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar. Comput. Medical Imaging Graph. Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Jim M. Wild, Richard H. Clayton
2016	—	`conf`	A Personalised Monitoring and Recommendation Framework for Kinetic Dysfunctions: The Trendelenburg Gait. PCI Nikolaos Michalopoulos, George E. Raptis, Christina P. Katsini, Theofilos Chrysikos, Michail Mamalakis, Andrew Vigotsky