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ORCID3rd AMAI@MICCAI 2024: Marrakesh, Morocco
- Shandong Wu, Behrouz Shabestari, Lei Xing:
Applications of Medical Artificial Intelligence - Third International Workshop, AMAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15384, Springer 2025, ISBN 978-3-031-82006-9 - Rafaela Carvalho
, Ana C. Morgado, Ana Filipa Sampaio, Maria João M. Vasconcelos:
Exploring CNN and Transformer-Based Architectures to Improve Image Segmentation for Chronic Wound Measurement. 1-10 - Minjeong Kim, Hesham Dar, Sanguk Park, Thijs Kooi:
From Pixel Scores to Clinical Impacts: The Implicit Choices in FROC Metric Design and Their Consequences. 11-20 - Zhennong Chen, Siyeop Yoon, Quirin D. Strotzer, Rehab Naeem Khalid, Matthew Tivnan, Quanzheng Li, Rajiv Gupta, Dufan Wu:
Head CT Scan Motion Artifact Correction via Diffusion-Based Generative Models. 21-30 - Hyeon-Gyu Chi, Bogyu Park, Keunyoung Kim, Jiwon Lee, Sungjea Kim, Hyeonu Jeong, Jihun Yoon, Chihyun Song, Seokrae Park, Youngno Yoon, Youngsoo Kim, Sunghyun Park, Yoo Min Kim, Min-Kook Choi, Woo Jin Hyung, Hansol Choi:
SP-NAS: Surgical Phase Recognition-Based Navigation Adjustment System for Distal Gastrectomy. 31-40 - Matteo Ferrante, Alessandra Carosi, Rolando Maria D'Angelillo, Nicola Toschi:
Transforming Multimodal Models into Action Models for Radiotherapy. 41-53 - Mieko Ochi, Daisuke Komura, Tetsuo Ushiku, Yasushi Rino, Shumpei Ishikawa:
Enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis. 54-63 - Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Targeted Visual Prompting for Medical Visual Question Answering. 64-73 - William Michael Laprade, Behnaz Pirzamanebin, Rajmund Mokso, Julia Nilsson, Vedrana Andersen Dahl, Anders B. Dahl, Dan Holmberg, Anja Schmidt-Christensen:
Deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver. 74-84 - Xia Zhang, Afsah Saleem, Zaid Ilyas, David Suter, Uzair Nadeem, Richard Prince, Kun Zhu, Joshua R. Lewis, Marc Sim, Syed Zulqarnain Gilani:
Predicting Falls Through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework. 85-94 - Hoda Helmy, Chaima Ben Rabah, Nada Ali, Ahmed Ibrahim, Abdullah Hoseiny, Ahmed Serag:
Optimizing ICU Readmission Prediction: A Comparative Evaluation of AI Tools. 95-104 - Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina:
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging. 105-115 - Malaizyo G. Muzumala, Ernest Obbie Zulu, Peter Chibuta, Mayumbo Nyirenda, Lighton Phiri:
Evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence Systems in Low-Resource Settings: Semi-automated Classification and Detection of Community Acquired Pneumonia. 116-126 - Arijit Patra:
Incremental Augmentation Strategies for Personalised Continual Learning in Digital Pathology Contexts. 127-139 - Louise Guillon, Soheib Biga, Axel Puyo, Grégoire Pasquier, Valentin Foucher, Yendoubé E. Kantchire, Stéphane E. Sossou, Ameyo M. Dorkenoo, Laurent Bonnardot, Marc Thellier, Laurence Lachaud, Renaud Piarroux:
Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears. 140-150 - Tomoko Yamaguchi, Ryoichi Nakamura, Akihito Kuboki, Nobuyoshi Otori:
Automated Feedback System for Surgical Skill Improvement in Endoscopic Sinus Surgery. 151-161 - Yongcheng Yao, Weitian Chen:
Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics. 162-172 - Zelong Liu, Peyton Smith, Alexander Lautin, Jieshen Zhou, Maxwell Yoo, Mikey Sullivan, Haorun Li, Louisa Deyer, Alexander Zhou, Arnold Yang, Alara Yilmaz, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei:
RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. 173-185 - Gianluca De Franceschi, Inês W. Sampaio, Stefan J. Borgwardt, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Eva M. Meisenzahl, Raimo K. R. Salokangas, Rachel Upthegrove, Stephen J. Wood, Nikolaos Koutsouleris, Paolo Brambilla, Eleonora Maggioni:
Ensemble-KAN: Leveraging Kolmogorov Arnold Networks to Discriminate Individuals with Psychiatric Disorders from Controls. 186-197 - Enamundram Naga Karthik, Jan Valosek, Lynn Farner, Dario Pfyffer, Simon Schading-Sassenhausen, Anna Lebret, Gergely Dávid, Andrew C. Smith, Kenneth Arnold Weber II, Maryam Seif, Patrick Freund, Julien Cohen-Adad:
SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury. 198-209 - João Matos, Jack Gallifant, Jian Pei, An-Kwok Ian Wong:
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models. 210-220 - Inês Martins, João Matos, Tiago Gonçalves, Leo A. Celi, An-Kwok Ian Wong, Jaime S. Cardoso:
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning Under Counterfactual Thinking. 221-230 - Songlin Zhao, Rong Zhou, Yu Zhang, Yong Chen, Lifang He:
Normative Modeling with Focal Loss and Adversarial Autoencoders for Alzheimer's Disease Diagnosis and Biomarker Identification. 231-240 - Yaxiong Chen, Junjian Hu, Chunlei Li, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou:
One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks. 241-251 - Yanfeng Li, Jinghan Sun, Liansheng Wang:
Data-Efficient Radiology Report Generation via Similar Report Features Enhancement. 252-262
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