International Conference on Medical Image Computing and Computer-Assisted Intervention
PulseAugur coverage of International Conference on Medical Image Computing and Computer-Assisted Intervention — every cluster mentioning International Conference on Medical Image Computing and Computer-Assisted Intervention across labs, papers, and developer communities, ranked by signal.
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New benchmark REG 2025 evaluates vision-language models for pathology reports
Researchers have introduced a new benchmark, REG 2025, to evaluate vision-language models (VLMs) for automated pathology diagnosis and report generation. This benchmark is supported by the Pan-Asia WSI-report dataset, c…
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Medical AI challenge evolves for vestibular schwannoma segmentation
The crossMoDA challenge, held in conjunction with MICCAI, has focused on unsupervised cross-modality domain adaptation for medical image segmentation since 2021. Initially concentrating on segmenting vestibular schwanno…
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PhD student seeks advice on publishing rejected MICCAI paper
A PhD student, whose paper was rejected by MICCAI despite a reviewer noting its novelty, is seeking advice on the best publication strategy. They are considering whether to revise and submit directly to a journal or fir…
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MICCAI grants results inquiry on r/MachineLearning
A user on the r/MachineLearning subreddit is inquiring about the results of MICCAI grants, as they have not received any notification. They are seeking confirmation from others if they have received their results or if …
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PathologyAI event at MICCAI seeks submissions for tutorial, workshop, and challenge
The Compayl day at MICCAI, an International Conference on Medical Image Computing and Computer-Assisted Intervention, is seeking submissions. This full-day event will feature a tutorial, workshop, and the Reg2026 challe…
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AI challenge benchmarks vision-based assessment for open surgical skills
A recent challenge focused on developing vision-based AI systems for assessing open surgical skills. The competition, held over two years, involved tasks such as classifying skill levels, predicting detailed technical a…
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3DTeethLand challenge spurs AI advances in dental landmark detection
The 3DTeethLand challenge, held at MICCAI 2024, aimed to advance deep learning techniques for detecting dental landmarks from 3D intraoral scans. This challenge provided a new dataset of 340 scans to benchmark algorithm…