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        <title>Héctor Carrión</title>
        <link>https://hectorcarrion.com</link>
        <description>Research and publications by Héctor Carrión.</description>
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            <title>Héctor Carrión</title>
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            <link>https://hectorcarrion.com</link>
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        <copyright>All rights reserved 2026</copyright>
        <item>
            <title><![CDATA[Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification, MICCAI]]></title>
            <link>https://hectorcarrion.com/articles/cgddi</link>
            <guid>https://hectorcarrion.com/articles/cgddi</guid>
            <pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Combines healthy-skin inpainting, rare-lesion mapping, and disease-conditioned diffusion to create 266k+ synthetic dermatology images across skin tones and improve malignancy classification.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
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            <title><![CDATA[DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology, MICCAI]]></title>
            <link>https://hectorcarrion.com/articles/dermdepth</link>
            <guid>https://hectorcarrion.com/articles/dermdepth</guid>
            <pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[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.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
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            <title><![CDATA[A Modular Fluorescent Camera Unit for Wound Imaging, Communications Biology]]></title>
            <link>https://hectorcarrion.com/articles/fluorescent-camera-wound-imaging</link>
            <guid>https://hectorcarrion.com/articles/fluorescent-camera-wound-imaging</guid>
            <pubDate>Fri, 18 Jul 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Combines portable fluorescent imaging with spatial clustering to map pH and nitric oxide in mouse wounds and relate biomarker patterns to healing progression.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
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        <item>
            <title><![CDATA[TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy]]></title>
            <link>https://hectorcarrion.com/articles/tardis-stride</link>
            <guid>https://hectorcarrion.com/articles/tardis-stride</guid>
            <pubDate>Thu, 12 Jun 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[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.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
        </item>
        <item>
            <title><![CDATA[Remote-Controlled Wireless Bioelectronics for Fluoxetine Therapy to Promote Wound Healing in a Porcine Model, AMT]]></title>
            <link>https://hectorcarrion.com/articles/remote-controlled-bioelectronics</link>
            <guid>https://hectorcarrion.com/articles/remote-controlled-bioelectronics</guid>
            <pubDate>Mon, 19 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Tests remotely controlled, multi-channel fluoxetine delivery with onboard wound imaging in a porcine model, demonstrating improved early repair relative to standard care.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
        </item>
        <item>
            <title><![CDATA[Programmable Delivery of Fluoxetine via Wearable Bioelectronics for Wound Healing In Vivo, AMT]]></title>
            <link>https://hectorcarrion.com/articles/amat</link>
            <guid>https://hectorcarrion.com/articles/amat</guid>
            <pubDate>Sun, 15 Sep 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[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.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
        </item>
        <item>
            <title><![CDATA[FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification, MICCAI]]></title>
            <link>https://hectorcarrion.com/articles/fedd</link>
            <guid>https://hectorcarrion.com/articles/fedd</guid>
            <pubDate>Sun, 01 Oct 2023 00:00:00 GMT</pubDate>
            <description><![CDATA[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.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
        </item>
        <item>
            <title><![CDATA[HealNet - Self-supervised Acute Wound Heal-Stage Classification, MICCAI]]></title>
            <link>https://hectorcarrion.com/articles/healnet</link>
            <guid>https://hectorcarrion.com/articles/healnet</guid>
            <pubDate>Fri, 16 Dec 2022 00:00:00 GMT</pubDate>
            <description><![CDATA[Learns temporal ordering from mouse-wound image pairs, clusters the resulting features into four healing stages, and trains a classifier without manual stage annotations.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
        </item>
        <item>
            <title><![CDATA[Automatic wound detection and size estimation using deep learning algorithms, PLOS]]></title>
            <link>https://hectorcarrion.com/articles/auto_wound</link>
            <guid>https://hectorcarrion.com/articles/auto_wound</guid>
            <pubDate>Fri, 11 Mar 2022 00:00:00 GMT</pubDate>
            <description><![CDATA[Combines wound detection, segmentation, and reference-based sizing to automate mouse-wound measurements, preserving closure trends despite uneven imaging and missing or damaged splints.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
        </item>
        <item>
            <title><![CDATA[Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision, VISAPP]]></title>
            <link>https://hectorcarrion.com/articles/bee</link>
            <guid>https://hectorcarrion.com/articles/bee</guid>
            <pubDate>Wed, 19 Jan 2022 00:00:00 GMT</pubDate>
            <description><![CDATA[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.]]></description>
            <content:encoded><![CDATA[<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>]]></content:encoded>
            <author>hi@hectorcarrion.com (Héctor Carrión)</author>
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