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Michail Mamalakis
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2020 – today
- 2024
- [j7]Michail Mamalakis
, Sarah C. Macfarlane, Scott V. Notley, Annica K. B. Gad
A novel pipeline employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy. Comput. Biol. Medicine 181: 109052 (2024) - [j6]Yang Nan
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 97: 103253 (2024) - [j5]Michail Mamalakis
Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning. Neural Comput. Appl. 36(30): 18841-18862 (2024) - [i9]Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio:
Solving the enigma: Deriving optimal explanations of deep networks. CoRR abs/2405.10008 (2024) - [i8]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:
Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification. CoRR abs/2405.19204 (2024) - [i7]Michail Mamalakis, Héloïse de Vareilles, Graham K. Murray, Pietro Lio, John Suckling:
The Explanation Necessity for Healthcare AI. CoRR abs/2406.00216 (2024) - [i6]Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang:
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. CoRR abs/2406.05540 (2024) - [i5]Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang:
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. CoRR abs/2408.15299 (2024) - 2023
- [j4]Michail Mamalakis
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar. Artif. Intell. Medicine 143: 102610 (2023) - [j3]Michail Mamalakis
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle. Comput. Medical Imaging Graph. 103: 102152 (2023) - [i4]Michail Mamalakis
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition. CoRR abs/2309.00903 (2023) - [i3]Michail Mamalakis
A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy. CoRR abs/2309.00911 (2023) - [i2]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
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR abs/2312.13752 (2023) - 2021
- [j2]Michail Mamalakis
MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar. Comput. Medical Imaging Graph. 93: 101982 (2021) - [j1]Michail Mamalakis
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Comput. Medical Imaging Graph. 94: 102008 (2021) - [i1]Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. CoRR abs/2104.04006 (2021)
2010 – 2019
- 2016
- [c1]Nikolaos Michalopoulos, George E. Raptis
A Personalised Monitoring and Recommendation Framework for Kinetic Dysfunctions: The Trendelenburg Gait. PCI 2016: 8
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