{
    "version": "https://jsonfeed.org/version/1",
    "title": "Héctor Carrión",
    "home_page_url": "https://hectorcarrion.com",
    "feed_url": "https://hectorcarrion.com/rss/feed.json",
    "description": "Research and publications by Héctor Carrión.",
    "icon": "https://hectorcarrion.com/favicon.ico",
    "author": {
        "name": "Héctor Carrión"
    },
    "items": [
        {
            "id": "https://hectorcarrion.com/articles/cgddi",
            "content_html": "<p>Combines healthy-skin inpainting, rare-lesion mapping, and disease-conditioned diffusion to create 266k+ synthetic dermatology images across skin tones and improve malignancy classification.</p><p><a href=\"https://papers.miccai.org/miccai-2026/paper/1473_paper.pdf\">Paper</a></p><p><a href=\"https://github.com/hectorcarrion/ControllableGenDDI\">Code</a></p>",
            "url": "https://hectorcarrion.com/articles/cgddi",
            "title": "Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification, MICCAI",
            "summary": "Combines healthy-skin inpainting, rare-lesion mapping, and disease-conditioned diffusion to create 266k+ synthetic dermatology images across skin tones and improve malignancy classification.",
            "date_modified": "2026-09-27T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        },
        {
            "id": "https://hectorcarrion.com/articles/dermdepth",
            "content_html": "<p>Adapts a monocular 3D model with synthetic D-Synth data and small clinical datasets to recover metric lesion geometry and detailed surface normals from one image.</p><p><a href=\"https://papers.miccai.org/miccai-2026/paper/5594_paper.pdf\">Paper</a></p><p><a href=\"https://github.com/hectorcarrion/dermdepth\">Code</a></p>",
            "url": "https://hectorcarrion.com/articles/dermdepth",
            "title": "DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology, MICCAI",
            "summary": "Adapts a monocular 3D model with synthetic D-Synth data and small clinical datasets to recover metric lesion geometry and detailed surface normals from one image.",
            "date_modified": "2026-09-27T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        },
        {
            "id": "https://hectorcarrion.com/articles/fluorescent-camera-wound-imaging",
            "content_html": "<p>Combines portable fluorescent imaging with spatial clustering to map pH and nitric oxide in mouse wounds and relate biomarker patterns to healing progression.</p><p><a href=\"https://www.nature.com/articles/s42003-025-08423-y\">Paper</a></p>",
            "url": "https://hectorcarrion.com/articles/fluorescent-camera-wound-imaging",
            "title": "A Modular Fluorescent Camera Unit for Wound Imaging, Communications Biology",
            "summary": "Combines portable fluorescent imaging with spatial clustering to map pH and nitric oxide in mouse wounds and relate biomarker patterns to healing progression.",
            "date_modified": "2025-07-18T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        },
        {
            "id": "https://hectorcarrion.com/articles/tardis-stride",
            "content_html": "<p>Trains a billion-parameter world model on street-view images linked by location, time, and movement commands, unifying controlled image generation, geolocation, and action prediction.</p><p><a href=\"https://arxiv.org/abs/2506.11302\">Paper</a></p><p><a href=\"https://github.com/tera-ai/tardis\">Code</a></p>",
            "url": "https://hectorcarrion.com/articles/tardis-stride",
            "title": "TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy",
            "summary": "Trains a billion-parameter world model on street-view images linked by location, time, and movement commands, unifying controlled image generation, geolocation, and action prediction.",
            "date_modified": "2025-06-12T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        },
        {
            "id": "https://hectorcarrion.com/articles/remote-controlled-bioelectronics",
            "content_html": "<p>Tests remotely controlled, multi-channel fluoxetine delivery with onboard wound imaging in a porcine model, demonstrating improved early repair relative to standard care.</p><p><a href=\"https://advanced.onlinelibrary.wiley.com/doi/full/10.1002/admt.202500040\">Paper</a></p>",
            "url": "https://hectorcarrion.com/articles/remote-controlled-bioelectronics",
            "title": "Remote-Controlled Wireless Bioelectronics for Fluoxetine Therapy to Promote Wound Healing in a Porcine Model, AMT",
            "summary": "Tests remotely controlled, multi-channel fluoxetine delivery with onboard wound imaging in a porcine model, demonstrating improved early repair relative to standard care.",
            "date_modified": "2025-05-19T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        },
        {
            "id": "https://hectorcarrion.com/articles/amat",
            "content_html": "<p>Demonstrates a standalone wearable ion pump that delivers scheduled fluoxetine doses, improving early tissue repair and inflammatory markers in a mouse-wound proof of concept.</p><p><a href=\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/admt.202301115\">Paper</a></p>",
            "url": "https://hectorcarrion.com/articles/amat",
            "title": "Programmable Delivery of Fluoxetine via Wearable Bioelectronics for Wound Healing In Vivo, AMT",
            "summary": "Demonstrates a standalone wearable ion pump that delivers scheduled fluoxetine doses, improving early tissue repair and inflammatory markers in a mouse-wound proof of concept.",
            "date_modified": "2024-09-15T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        },
        {
            "id": "https://hectorcarrion.com/articles/fedd",
            "content_html": "<p>Uses a frozen diffusion model’s visual features with lightweight prediction heads to segment skin lesions and classify malignancy from small, skin-tone-balanced labeled datasets.</p><p><a href=\"https://link.springer.com/chapter/10.1007/978-3-031-43990-2_26\">Paper</a></p><p><a href=\"https://github.com/hectorcarrion/fedd\">Code</a></p>",
            "url": "https://hectorcarrion.com/articles/fedd",
            "title": "FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification, MICCAI",
            "summary": "Uses a frozen diffusion model’s visual features with lightweight prediction heads to segment skin lesions and classify malignancy from small, skin-tone-balanced labeled datasets.",
            "date_modified": "2023-10-01T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        },
        {
            "id": "https://hectorcarrion.com/articles/healnet",
            "content_html": "<p>Learns temporal ordering from mouse-wound image pairs, clusters the resulting features into four healing stages, and trains a classifier without manual stage annotations.</p><p><a href=\"https://link.springer.com/chapter/10.1007/978-3-031-21014-3_46\">Paper</a></p>",
            "url": "https://hectorcarrion.com/articles/healnet",
            "title": "HealNet - Self-supervised Acute Wound Heal-Stage Classification, MICCAI",
            "summary": "Learns temporal ordering from mouse-wound image pairs, clusters the resulting features into four healing stages, and trains a classifier without manual stage annotations.",
            "date_modified": "2022-12-16T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        },
        {
            "id": "https://hectorcarrion.com/articles/auto_wound",
            "content_html": "<p>Combines wound detection, segmentation, and reference-based sizing to automate mouse-wound measurements, preserving closure trends despite uneven imaging and missing or damaged splints.</p><p><a href=\"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009852\">Paper</a></p><p><a href=\"https://github.com/Gomez-Lab/WoundSizeEstimation\">Code</a></p>",
            "url": "https://hectorcarrion.com/articles/auto_wound",
            "title": "Automatic wound detection and size estimation using deep learning algorithms, PLOS",
            "summary": "Combines wound detection, segmentation, and reference-based sizing to automate mouse-wound measurements, preserving closure trends despite uneven imaging and missing or damaged splints.",
            "date_modified": "2022-03-11T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        },
        {
            "id": "https://hectorcarrion.com/articles/bee",
            "content_html": "<p>Studies honeybee re-identification from abdomen images, using short video tracks for self-supervised pretraining and tag-derived identity labels for fine-tuning across days.</p><p><a href=\"https://doi.org/10.5220/0010843100003124\">Paper</a></p>",
            "url": "https://hectorcarrion.com/articles/bee",
            "title": "Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision, VISAPP",
            "summary": "Studies honeybee re-identification from abdomen images, using short video tracks for self-supervised pretraining and tag-derived identity labels for fine-tuning across days.",
            "date_modified": "2022-01-19T00:00:00.000Z",
            "author": {
                "name": "Héctor Carrión"
            }
        }
    ]
}