PromptM-UNet is an ultra-lightweight, multi-modal 3D medical image segmentation framework that integrates Residual Vision Mamba (SSM) with multi-stage
Ketut Shridhara
Kiuyha
AI & ML interests
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Recent Activity
new activity 24 minutes ago
Kiuyha/PromptM_UNet_Dashboard:Apply for a GPU community grant: Academic project updated a collection about 5 hours ago
PromptM-UNet updated a collection about 5 hours ago
PromptM-UNetOrganizations
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spaces 6
Running on Zero
Agents
PromptM-UNet 3D Segmentation Dashboard
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Text-prompted 3D CT spleen segmentation visualizer
Running
Surabaya Opinion Analytics
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Streamlit template space
Running
Audio-Separation-Inspector
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Run interactive web applications
Runtime error
Price-Ecommerce-Predictor
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Display interactive web applications
Paused
Agents
1
Indonesia Literacy Numeracy Predictor
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Running
Agents
2
Aerial Thermal SAR Detection Demo
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Detect humans in thermal images using YOLOv12 and RT-DETRv2
models 8
Kiuyha/PromptM-UNet
Image Segmentation • Updated
Kiuyha/paddleocr-onnx
Image-to-Text • Updated • 2
Kiuyha/surabaya-opinion-tweet-clusters
Updated
Kiuyha/Manga-Bubble-YOLO
Object Detection • Updated • 2
Kiuyha/TF-SA-ResUNet-Model
Updated
Kiuyha/surabaya-opinion-indobert-ner
Token Classification • 0.1B • Updated • 13
Kiuyha/yolov12-human-detection-thermal-uav
Updated
Kiuyha/rtdetrv2-human-detection-thermal-uav
Updated