Harvard Dataverse for SarcGraph: an open-source toolkit that automates detection, tracking, and analysis of sarcomeres in hiPSC-derived cardiomyocytes. GitHub

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11 to 16 of 16 Results
Unknown - 2.9 MB - MD5: 5f2d50b151596d5e207b61ed32c4834e
Pre-trained MLP ensemble model #4 (DINO→MLP) for Z-disc classification
Unknown - 159.9 MB - MD5: ea76c5381d537d1d4717e9b9229d04ca
Fine-tuned EfficientNet v2 model #5 (SimCLR framework) for z-disc classification in hiPSC-CM images.
Unknown - 159.9 MB - MD5: a093267047635c7afe7812d6537c2fb6
Fine-tuned EfficientNet v2 model #6 (SimCLR framework) for z-disc classification in hiPSC-CM images.
Unknown - 159.9 MB - MD5: 6b4f341ded86843656377b2d56e4bb70
Fine-tuned EfficientNet v2 model #7 (SimCLR framework) for z-disc classification in hiPSC-CM images.
Unknown - 281.3 MB - MD5: cedb105080bc343d9d9836e2b87ade11
Images of candidate labeled Z-disc contours (aligned with labels in `zdisc_contours_labels.npy`)
Unknown - 47.0 KB - MD5: 4ed1fc5730807ed40a376da009372b81
Binary NumPy array of labels for Z-disc contour images (0 = non-Z-disc, 1 = Z-disc), aligned with the image files in labeled_samples/zdisc_contours_images.npy.
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