{"product_id":"multiscale-multimodal-medical-imaging-third-international-workshop-mmmi-2022-held-in-conjunction-with-miccai-2022-singapore-september-22-2022-proceedings-9783031188138","title":"Multiscale Multimodal Medical Imaging: Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThe Third International Workshop on Multiscale Multimodal Medical Imaging,MMMI 2022, held in Singapore in September 2022, brought together experts to discuss advances in multi-scale multi-modal medical imaging. The 12 papers presented focused on algorithm development, methodology implementation, and experimental studies, with a particular emphasis on machine learning methods for data fusion and multi-score learning. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 131 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 14 October 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe Third International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2022) was held in conjunction with MICCAI 2022 in Singapore in September 2022. The workshop brought together experts from around the world to discuss and explore advancements in multi-scale multi-modal medical imaging. A total of 12 papers were presented at the workshop, which were carefully reviewed and selected from 18 submissions. The main objective of the MMMI workshop is to advance the state-of-the-art in multi-scale multi-modal medical imaging, encompassing algorithm development, methodology implementation, and experimental studies.\u003cbr\u003e\u003cbr\u003eThe papers presented at the workshop covered a wide range of topics, including medical image analysis and machine learning, with a particular focus on machine learning methods for data fusion and multi-score learning. The participants discussed innovative approaches and techniques for analyzing medical images, such as deep learning, convolutional neural networks, and transfer learning. They also explored the application of these methods in various medical domains, such as cancer diagnosis, cardiovascular disease, and neurological disorders.\u003cbr\u003e\u003cbr\u003eOne of the key highlights of the MMMI 2022 workshop was the active participation of researchers from different fields, including computer science, medicine, and engineering. This interdisciplinary collaboration fostered a rich exchange of ideas and helped to bridge the gap between theory and practice in medical imaging. The workshop also provided a platform for young researchers to showcase their work and receive feedback from established experts in the field.\u003cbr\u003e\u003cbr\u003eOverall, the MMMI 2022 workshop was a successful event that contributed to the progress of multi-scale multi-modal medical imaging. The papers presented and the discussions held during the workshop provided valuable insights into the current state of the art and highlighted the potential for future research and innovation in this field. The workshop also emphasized the importance of interdisciplinary collaboration and the need for continued investment in medical imaging research to improve patient care and outcomes.\u003cbr\u003eThe Third International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2022) was held in conjunction with MICCAI 2022 in Singapore in September 2022. The workshop brought together experts from around the world to discuss and explore advancements in multi-scale multi-modal medical imaging. A total of 12 papers were presented at the workshop, which were carefully reviewed and selected from 18 submissions. The main objective of the MMMI workshop is to advance the state-of-the-art in multi-scale multi-modal medical imaging, encompassing algorithm development, methodology implementation, and experimental studies.\u003cbr\u003e\u003cbr\u003eThe papers presented at the workshop covered a wide range of topics, including medical image analysis and machine learning, with a particular focus on machine learning methods for data fusion and multi-score learning. The participants discussed innovative approaches and techniques for analyzing medical images, such as deep learning, convolutional neural networks, and transfer learning. They also explored the application of these methods in various medical domains, such as cancer diagnosis, cardiovascular disease, and neurological disorders.\u003cbr\u003e\u003cbr\u003eOne of the key highlights of the MMMI 2022 workshop was the active participation of researchers from different fields, including computer science, medicine, and engineering. This interdisciplinary collaboration fostered a rich exchange of ideas and helped to bridge the gap between theory and practice in medical imaging. The workshop also provided a platform for young researchers to showcase their work and receive feedback from established experts in the field.\u003cbr\u003e\u003cbr\u003eOverall, the MMMI 2022 workshop was a successful event that contributed to the progress of multi-scale multi-modal medical imaging. The papers presented and the discussions held during the workshop provided valuable insights into the current state of the art and highlighted the potential for future research and innovation in this field. The workshop also emphasized the importance of interdisciplinary collaboration and the need for continued investment in medical imaging research to improve patient care and outcomes.\u003cbr\u003e\u003cbr\u003eThe MMMI 2022 workshop was a significant event in the field of medical imaging, bringing together experts from various disciplines to discuss and explore advancements in multi-scale multi-modal medical imaging. The 12 papers presented at the workshop were carefully reviewed and selected from 18 submissions, reflecting the high quality and diversity of research in this area.\u003cbr\u003e\u003cbr\u003eThe papers covered a wide range of topics, including medical image analysis, machine learning, and data fusion. The participants discussed innovative approaches and techniques for analyzing medical images, such as deep learning, convolutional neural networks, and transfer learning. They also explored the application of these methods in various medical domains, such as cancer diagnosis, cardiovascular disease, and neurological disorders.\u003cbr\u003e\u003cbr\u003eOne of the key highlights of the MMMI 2022 workshop was the active participation of researchers from different fields, including computer science, medicine, and engineering. This interdisciplinary collaboration fostered a rich exchange of ideas and helped to bridge the gap between theory and practice in medical imaging. The workshop also provided a platform for young researchers to showcase their work and receive feedback from established experts in the field.\u003cbr\u003e\u003cbr\u003eOverall, the MMMI 2022 workshop was a successful event that contributed to the progress of multi-scale multi-modal medical imaging. The papers presented and the discussions held during the workshop provided valuable insights into the current state of the art and highlighted the potential for future research and innovation in this field. The workshop also emphasized the importance of interdisciplinary collaboration and the need for continued investment in medical imaging research to improve patient care and outcomes.\u003cbr\u003e\u003cbr\u003eIn conclusion, the MMMI 2022 workshop was a valuable platform for researchers and practitioners to exchange ideas and explore advancements in multi-scale multi-modal medical imaging. The 12 papers presented at the workshop showcased the latest research and innovations in this area, and the interdisciplinary collaboration fostered by the event helped to bridge the gap between theory and practice in medical imaging. We look forward to seeing the continued progress in this field in the future.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 226g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031188138\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44272374284538,"sku":"9783031188138","price":42.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_6148bbf8-bfb2-45d6-a141-e25ba93517ef.jpg?v=1686252614","url":"https:\/\/shulphink.com\/products\/multiscale-multimodal-medical-imaging-third-international-workshop-mmmi-2022-held-in-conjunction-with-miccai-2022-singapore-september-22-2022-proceedings-9783031188138","provider":"Shulph Ink","version":"1.0","type":"link"}