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DTSTART:20260329T020000
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DTSTART:20261025T010000
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BEGIN:VEVENT
DTSTAMP:20260301T050504Z
UID:B80D49BA-7DEF-4E63-8430-19923643CD3E
DTSTART;TZID=Europe/Lisbon:20260508T084500
DTEND;TZID=Europe/Lisbon:20260508T173000
DESCRIPTION:Event Website: https://mmia.inesctec.pt/\n\nThe Meeting on Medi
 cal Image Analysis (MMIA) is a forum for the medical image analysis commun
 ity. In a rapidly evolving research landscape\, MMIA aims are to promote t
 he sharing of scientific advances and recent results\, while fostering dis
 cussion around emerging topics and applications.\n\nMMIA welcomes submissi
 ons of 1-page abstracts reporting on research and recent results in medica
 l image analysis. Abstracts will be reviewed and selected by the Scientifi
 c Committee for oral or poster presentation.\n\nMMIA invites contributions
  in (but not limited to) the following areas:\n\n- Image reconstruction\, 
 enhancement\, and restoration\n- Image classification and object detection
 \n- Image segmentation and anomaly detection\n- Image registration and tra
 cking\n- Image synthesis and augmentation\n- Multimodal imaging and data f
 usion\n- Representation learning and deep learning for medical imaging\n- 
 Foundation models and large-scale learning in medical imaging\n- Quantitat
 ive imaging and radiomics\n- Image quality assessment\n- Image-based diagn
 osis and clinical decision support\n- Image-guided interventions and proce
 dure-related image analysis\n- Bias\, fairness\, and generalization in med
 ical image analysis\n- Explainability and interpretability in medical imag
 e analysis\n- Clinical implementation and validation of novel imaging solu
 tions\n\nIEEE EMBS Portugal members benefit from a 10% discount in the reg
 istration.\n\nBldg: Institute for Systems and Computer Engineering\, Techn
 ology and Science (INESC TEC)\, Campus of the Faculty of Engineering of th
 e University of Porto (FEUP)\, Rua Dr. Roberto Frias s/n\, Porto\, Norte\,
  Portugal\, 4200-465
LOCATION:Bldg: Institute for Systems and Computer Engineering\, Technology 
 and Science (INESC TEC)\, Campus of the Faculty of Engineering of the Univ
 ersity of Porto (FEUP)\, Rua Dr. Roberto Frias s/n\, Porto\, Norte\, Portu
 gal\, 4200-465
ORGANIZER:hugo.placido.silva@tecnico.ulisboa.pt
SEQUENCE:21
SUMMARY:Meeting on Medical Image Analysis (MMIA)
URL;VALUE=URI:https://events.vtools.ieee.org/m/542157
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Event Website:&lt;/strong&gt; https://mm
 ia.inesctec.pt/&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;The Meeting on Medical Image Analy
 sis (MMIA) is a forum for the medical image analysis community. In a rapid
 ly evolving research landscape\, MMIA aims are to promote the sharing of s
 cientific advances and recent results\, while fostering discussion around 
 emerging topics and applications.&lt;/p&gt;\n&lt;p&gt;MMIA welcomes submissions of&amp;nbs
 p\;&lt;strong&gt;1-page abstracts&lt;/strong&gt;&amp;nbsp\;reporting on research and recen
 t results in medical image analysis. Abstracts will be reviewed and select
 ed by the Scientific Committee for&amp;nbsp\;&lt;strong&gt;oral or poster presentati
 on&lt;/strong&gt;.&lt;/p&gt;\n&lt;p&gt;MMIA invites contributions in (but not limited to) th
 e following areas:&lt;/p&gt;\n&lt;ul class=&quot;wp-block-list&quot;&gt;\n&lt;li&gt;Image reconstructi
 on\, enhancement\, and restoration&lt;/li&gt;\n&lt;li&gt;Image classification and obje
 ct detection&lt;/li&gt;\n&lt;li&gt;Image segmentation and anomaly detection&lt;/li&gt;\n&lt;li&gt;
 Image registration and&amp;nbsp\;tracking&lt;/li&gt;\n&lt;li&gt;Image synthesis and augmen
 tation&lt;/li&gt;\n&lt;li&gt;Multimodal imaging and data fusion&lt;/li&gt;\n&lt;li&gt;Representati
 on learning and deep learning for medical imaging&lt;/li&gt;\n&lt;li&gt;Foundation mod
 els and large-scale learning in medical imaging&lt;/li&gt;\n&lt;li&gt;Quantitative ima
 ging and radiomics&lt;/li&gt;\n&lt;li&gt;Image quality assessment&lt;/li&gt;\n&lt;li&gt;Image-base
 d diagnosis and clinical decision support&lt;/li&gt;\n&lt;li&gt;Image-guided intervent
 ions and procedure-related image analysis&lt;/li&gt;\n&lt;li&gt;Bias\, fairness\, and 
 generalization in medical image analysis&lt;/li&gt;\n&lt;li&gt;Explainability and inte
 rpretability in medical image analysis&lt;/li&gt;\n&lt;li&gt;Clinical implementation a
 nd validation of novel imaging solutions&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;
 strong&gt;IEEE EMBS Portugal members benefit from a 10% discount in the regis
 tration.&lt;/strong&gt;&lt;/p&gt;
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