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Moein Heidari
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Moein Heidari12 visible / 12 total nodes / 34 links

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Related contextCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipWorks onWorks onAuthorshipWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalMoein HeidariAMoein HeidariResearcherXTinyU-Net: Training-Free U-Net Scaling via Initialization-Time SensitivityWXTinyU-Net: Training-Fr...preprint / 2026David LiuADavid LiuResearcherAlvin KimbowaAAlvin KimbowaResearcherIlker HacihalilogluAIlker HacihalilogluResearcherHiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationWHiFormer: Hierarchical ...preprint / 2023eess.IVTeess.IV7337 worksComputer VisionTComputer Vision30606 worksIntervertebral Disc Labeling With Learning Shape Information, A Look Once ApproachWIntervertebral Disc Lab...preprint / 2022Contextual Attention Network: Transformer Meets U-NetWContextual Attention Ne...preprint / 2022TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image SegmentationWTransDeepLab: Convoluti...preprint / 2022TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation ModelWTransNorm: Transformer ...preprint / 2022
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Moein Heidari

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PaperXTinyU-Net: Training-Free U-Net Scaling via Initialization-Time SensitivityAuthorship / preprint / 2026PersonDavid LiuCo-authorship / ResearcherPersonAlvin KimbowaCo-authorship / ResearcherPersonIlker HacihalilogluCo-authorship / ResearcherPaperHiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationAuthorship / preprint / 2023Topiceess.IVWorks on / 7337 worksTopicComputer VisionWorks on / 30606 worksPaperIntervertebral Disc Labeling With Learning Shape Information, A Look Once ApproachAuthorship / preprint / 2022

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