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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>UniMedVL | Unified Medical Multimodal Understanding & Generation</title>
<link rel="icon" type="image/jpg" href="./static/images/favicon.jpg">
<link href="https://fonts.googleapis.com/css2?family=Instrument+Serif:ital@0;1&family=DM+Sans:opsz,wght@9..40,300;9..40,400;9..40,500;9..40,600;9..40,700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">
<style>
*,*::before,*::after{margin:0;padding:0;box-sizing:border-box}
:root{
--ink:#08090d;
--ink-deep:#0b0e18;
--paper:#f0ede6;
--gold:#c9a84c;
--blue:#2563eb;
--violet:#7c3aed;
--emerald:#059669;
--rose:#dc2626;
--mono:'JetBrains Mono',monospace;
--serif:'Instrument Serif',Georgia,serif;
--sans:'DM Sans',system-ui,sans-serif;
}
html{overflow-x:hidden;scroll-snap-type:y mandatory;scroll-behavior:smooth}
body{background:var(--ink);color:var(--paper);font-family:var(--sans);overflow-x:hidden}
/* ── Skip & Autoplay buttons ── */
.top-controls{
position:fixed;top:24px;right:28px;z-index:9999;
display:flex;gap:10px;
}
.ctrl-btn{
padding:10px 20px;font:500 11px/1 var(--mono);letter-spacing:.08em;text-transform:uppercase;
color:var(--paper);background:rgba(255,255,255,.06);
border:1px solid rgba(255,255,255,.12);border-radius:100px;
cursor:pointer;backdrop-filter:blur(16px);transition:all .3s;
display:flex;align-items:center;gap:6px;
}
.ctrl-btn:hover{background:rgba(255,255,255,.14);border-color:rgba(255,255,255,.3)}
.ctrl-btn.playing{background:rgba(201,168,76,.12);border-color:rgba(201,168,76,.35);color:var(--gold)}
.ctrl-btn .icon-sym{font-size:13px;line-height:1}
/* Autoplay countdown ring */
.ap-ring{
position:fixed;bottom:32px;left:50%;transform:translateX(-50%);z-index:9998;
display:none;align-items:center;gap:12px;
padding:10px 24px;border-radius:100px;
background:rgba(0,0,0,.6);backdrop-filter:blur(12px);
border:1px solid rgba(255,255,255,.1);
}
.ap-ring.show{display:flex}
.ap-ring svg{width:28px;height:28px;transform:rotate(-90deg)}
.ap-ring circle{fill:none;stroke-width:2.5;cx:14;cy:14;r:11}
.ap-ring .track{stroke:rgba(255,255,255,.1)}
.ap-ring .fill{stroke:var(--gold);stroke-dasharray:69.12;stroke-dashoffset:69.12;transition:stroke-dashoffset .1s linear}
.ap-ring .ap-text{font:400 11px/1 var(--mono);color:rgba(240,237,230,.5)}
.ap-ring .ap-slide{font:500 12px/1 var(--sans);color:var(--paper)}
/* ── Progress bar ── */
.progress-bar{
position:fixed;top:0;left:0;height:2px;background:linear-gradient(90deg,var(--blue),var(--violet),var(--gold));
z-index:9998;width:0%;transition:width .15s;
}
/* ── Nav dots ── */
.nav-dots{
position:fixed;right:24px;top:50%;transform:translateY(-50%);z-index:9998;
display:flex;flex-direction:column;gap:10px;
}
.nav-dots span{
width:7px;height:7px;border-radius:50%;
background:rgba(255,255,255,.15);cursor:pointer;transition:all .35s;
}
.nav-dots span.active{background:var(--gold);transform:scale(1.5)}
/* ── Slide base ── */
.slide{
min-height:100vh;scroll-snap-align:start;
display:flex;align-items:center;justify-content:center;
padding:80px 60px;position:relative;overflow:hidden;
}
/* ── Reveal animations ── */
.r{opacity:0;transform:translateY(50px);transition:all .8s cubic-bezier(.16,1,.3,1)}
.r.v{opacity:1;transform:translateY(0)}
.r.d1{transition-delay:.15s}.r.d2{transition-delay:.3s}.r.d3{transition-delay:.45s}.r.d4{transition-delay:.6s}.r.d5{transition-delay:.75s}
/* ══════════ SLIDE 0: HERO ══════════ */
.s-hero{
flex-direction:column;gap:36px;text-align:center;
background:radial-gradient(ellipse 90% 70% at 50% 35%,#10142a,var(--ink));
}
.s-hero::before{
content:'';position:absolute;inset:-50%;
background-image:
linear-gradient(rgba(59,130,246,.04) 1px,transparent 1px),
linear-gradient(90deg,rgba(59,130,246,.04) 1px,transparent 1px);
background-size:80px 80px;
animation:gridDrift 20s linear infinite;
pointer-events:none;
}
@keyframes gridDrift{from{transform:translate(0,0)}to{transform:translate(80px,80px)}}
.s-hero::after{
content:'';position:absolute;inset:0;
background:radial-gradient(circle at 30% 50%,rgba(59,130,246,.08),transparent 50%),
radial-gradient(circle at 70% 40%,rgba(139,92,246,.06),transparent 50%);
pointer-events:none;
}
.hero-title{
font:400 clamp(3.2rem,8vw,7rem)/1 var(--serif);
position:relative;z-index:1;
}
.hero-title em{font-style:italic;background:linear-gradient(135deg,var(--gold),#e8d48b);-webkit-background-clip:text;background-clip:text;-webkit-text-fill-color:transparent}
.hero-tagline{
font:400 clamp(1.2rem,2.5vw,1.6rem)/1.4 var(--serif);
max-width:700px;color:rgba(240,237,230,.75);position:relative;z-index:1;
font-style:italic;
}
.hero-sub{
font:300 clamp(.9rem,1.6vw,1.05rem)/1.8 var(--sans);
max-width:660px;color:rgba(240,237,230,.45);position:relative;z-index:1;
}
.hero-caps{
display:flex;flex-wrap:wrap;gap:10px;justify-content:center;
max-width:700px;position:relative;z-index:1;
}
.hc{
padding:8px 18px;border-radius:100px;
font:400 .8rem/1 var(--sans);color:rgba(240,237,230,.6);
background:rgba(255,255,255,.04);border:1px solid rgba(255,255,255,.08);
transition:all .3s;
}
.hc:hover{background:rgba(201,168,76,.08);border-color:rgba(201,168,76,.25);color:var(--gold)}
.hero-stats{
display:flex;gap:40px;position:relative;z-index:1;
}
.hs{text-align:center}
.hs-v{font:400 2.4rem/1 var(--serif);color:var(--gold)}
.hs-l{font:400 10px/1.3 var(--mono);letter-spacing:.1em;text-transform:uppercase;color:rgba(240,237,230,.35);margin-top:6px}
.scroll-cue{
position:absolute;bottom:32px;left:50%;transform:translateX(-50%);
display:flex;flex-direction:column;align-items:center;gap:6px;z-index:1;
}
.scroll-cue span{font:400 10px/1 var(--mono);letter-spacing:.12em;text-transform:uppercase;color:rgba(240,237,230,.25)}
.scroll-arrow{width:16px;height:16px;border-right:1.5px solid rgba(240,237,230,.25);border-bottom:1.5px solid rgba(240,237,230,.25);transform:rotate(45deg);animation:bounce 2s infinite}
@keyframes bounce{0%,100%{transform:rotate(45deg) translateY(0)}50%{transform:rotate(45deg) translateY(6px)}}
/* ══════════ SLIDE 1: THE PROBLEM ══════════ */
.s-problem{
background:var(--ink);flex-direction:column;gap:48px;
}
.split{display:flex;gap:48px;max-width:960px;width:100%;align-items:stretch}
.split-card{
flex:1;padding:40px 32px;border-radius:20px;position:relative;overflow:hidden;
display:flex;flex-direction:column;gap:16px;
}
.split-card.broken{
background:rgba(244,63,94,.04);border:1px solid rgba(244,63,94,.15);
}
.split-card.unified{
background:rgba(16,185,129,.04);border:1px solid rgba(16,185,129,.15);
}
.sc-icon{font-size:2.5rem;margin-bottom:4px}
.sc-title{font:500 1.2rem/1.3 var(--sans)}
.sc-desc{font:300 .9rem/1.7 var(--sans);color:rgba(240,237,230,.5)}
.sc-tag{
display:inline-flex;align-self:flex-start;padding:5px 14px;border-radius:100px;
font:500 10px/1 var(--mono);letter-spacing:.08em;text-transform:uppercase;
}
.split-card.broken .sc-tag{background:rgba(244,63,94,.1);color:var(--rose)}
.split-card.unified .sc-tag{background:rgba(16,185,129,.1);color:var(--emerald)}
.vs-badge{
align-self:center;display:flex;align-items:center;
font:700 1.5rem/1 var(--serif);color:rgba(240,237,230,.15);
writing-mode:vertical-lr;
}
/* ══════════ SLIDE 2: OKA 3 pillars ══════════ */
.s-oka{
background:linear-gradient(180deg,var(--ink),#0b0e18);
flex-direction:column;gap:48px;
}
.heading{text-align:center;max-width:680px}
.heading .over{font:500 11px/1 var(--mono);letter-spacing:.15em;text-transform:uppercase;color:var(--gold);margin-bottom:14px;display:block}
.heading h2{font:400 clamp(2.2rem,5vw,3.6rem)/1.1 var(--serif)}
.heading p{font:300 1rem/1.7 var(--sans);color:rgba(240,237,230,.45);margin-top:14px}
.pillars{display:flex;gap:20px;max-width:1000px;width:100%}
.pillar{
flex:1;padding:36px 28px;border-radius:18px;
background:rgba(255,255,255,.02);border:1px solid rgba(255,255,255,.05);
transition:all .5s;position:relative;
}
.pillar:hover{background:rgba(255,255,255,.05);transform:translateY(-6px);border-color:rgba(255,255,255,.1)}
.pillar::before{
content:'';position:absolute;top:0;left:24px;right:24px;height:2px;border-radius:1px;
}
.pillar:nth-child(1)::before{background:linear-gradient(90deg,var(--blue),transparent)}
.pillar:nth-child(2)::before{background:linear-gradient(90deg,var(--violet),transparent)}
.pillar:nth-child(3)::before{background:linear-gradient(90deg,var(--gold),transparent)}
.pillar .p-num{font:500 11px/1 var(--mono);letter-spacing:.1em;text-transform:uppercase;margin-bottom:16px;display:block}
.pillar:nth-child(1) .p-num{color:var(--blue)}
.pillar:nth-child(2) .p-num{color:var(--violet)}
.pillar:nth-child(3) .p-num{color:var(--gold)}
.pillar h3{font:500 1.25rem/1.3 var(--sans);margin-bottom:12px}
.pillar p{font:300 .85rem/1.65 var(--sans);color:rgba(240,237,230,.45)}
.pillar .p-stat{
margin-top:20px;padding-top:16px;border-top:1px solid rgba(255,255,255,.06);
font:400 1.8rem/1 var(--serif);color:var(--gold);
}
.pillar .p-stat small{font:400 .7rem/1.3 var(--mono);color:rgba(240,237,230,.35);display:block;margin-top:4px}
/* ══════════ SLIDE 3: Architecture ══════════ */
.s-arch{
background:#0b0e18;flex-direction:column;gap:48px;
}
.arch-diagram{
max-width:800px;width:100%;
display:flex;flex-direction:column;gap:16px;
}
.arch-row{display:flex;gap:12px;justify-content:center;align-items:center}
.arch-block{
padding:18px 24px;border-radius:12px;text-align:center;
font:500 .8rem/1.3 var(--mono);letter-spacing:.03em;
transition:all .4s;
}
.arch-block:hover{transform:scale(1.05)}
.ab-vit{background:rgba(59,130,246,.1);border:1px solid rgba(59,130,246,.2);color:#93c5fd}
.ab-vae{background:rgba(139,92,246,.1);border:1px solid rgba(139,92,246,.2);color:#c4b5fd}
.ab-llm{background:rgba(201,168,76,.08);border:1px solid rgba(201,168,76,.2);color:var(--gold);padding:24px 48px;font-size:.9rem}
.ab-txt{background:rgba(255,255,255,.04);border:1px solid rgba(255,255,255,.08);color:rgba(240,237,230,.6)}
.ab-out{background:rgba(16,185,129,.08);border:1px solid rgba(16,185,129,.2);color:#6ee7b7}
.arch-arrow{color:rgba(240,237,230,.15);font-size:1.2rem}
.arch-label{font:300 .75rem/1.4 var(--sans);color:rgba(240,237,230,.3);text-align:center;margin-top:8px}
.loss-eq{
font:400 1.1rem/1 var(--mono);color:var(--gold);text-align:center;
padding:16px 32px;border-radius:12px;
background:rgba(201,168,76,.05);border:1px solid rgba(201,168,76,.1);
display:inline-block;
}
/* ══════════ SLIDE 4: Understanding Results ══════════ */
.s-und{
background:linear-gradient(180deg,#0b0e18,#0d1020);
flex-direction:column;gap:48px;
}
.table-wrap{
max-width:900px;width:100%;overflow-x:auto;
}
.res-table{
width:100%;border-collapse:collapse;
font:400 .8rem/1.4 var(--mono);
}
.res-table th{
padding:12px 16px;text-align:left;
font:500 .7rem/1 var(--mono);letter-spacing:.08em;text-transform:uppercase;
color:rgba(240,237,230,.35);border-bottom:1px solid rgba(255,255,255,.08);
}
.res-table td{
padding:10px 16px;border-bottom:1px solid rgba(255,255,255,.04);
color:rgba(240,237,230,.6);
}
.res-table tr:last-child{background:rgba(201,168,76,.06)}
.res-table tr:last-child td{color:var(--gold);font-weight:500}
.highlight-val{color:var(--gold);font-weight:600}
/* ══════════ SLIDE 5: Generation Results ══════════ */
.s-gen{
background:#0d1020;flex-direction:column;gap:48px;
}
.gen-grid{
display:grid;grid-template-columns:repeat(4,1fr);gap:16px;max-width:800px;width:100%;
}
.gen-card{
padding:28px 20px;border-radius:14px;text-align:center;
background:rgba(255,255,255,.02);border:1px solid rgba(255,255,255,.05);
transition:all .4s;
}
.gen-card:hover{background:rgba(255,255,255,.05);transform:translateY(-4px)}
.gen-card .gc-mod{font:500 .7rem/1 var(--mono);letter-spacing:.06em;text-transform:uppercase;color:rgba(240,237,230,.4);margin-bottom:12px}
.gen-card .gc-val{font:400 2rem/1 var(--serif);color:var(--gold)}
.gen-card .gc-label{font:400 .65rem/1.2 var(--mono);color:rgba(240,237,230,.3);margin-top:6px}
/* ══════════ SLIDE 6: Capabilities showcase ══════════ */
.s-caps{
background:linear-gradient(180deg,#0d1020,#0a0d16);
flex-direction:column;gap:48px;
}
.cap-grid{
display:grid;grid-template-columns:repeat(5,1fr);gap:14px;max-width:960px;width:100%;
}
.cap-item{
padding:24px 16px;border-radius:14px;text-align:center;
background:rgba(255,255,255,.02);border:1px solid rgba(255,255,255,.05);
transition:all .4s;cursor:default;
}
.cap-item:hover{background:rgba(255,255,255,.06);border-color:rgba(255,255,255,.12);transform:translateY(-3px)}
.cap-item .ci-icon{font-size:1.8rem;margin-bottom:10px;display:block}
.cap-item .ci-name{font:500 .75rem/1.3 var(--sans);color:rgba(240,237,230,.7)}
.cap-item .ci-type{
display:inline-block;margin-top:8px;padding:3px 10px;border-radius:100px;
font:500 9px/1 var(--mono);letter-spacing:.06em;text-transform:uppercase;
}
.ci-u{background:rgba(59,130,246,.1);color:#93c5fd}
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<!-- ═══ 0. HERO ═══ -->
<section class="slide s-hero" id="s0">
<h1 class="hero-title r"><em>UniMedVL</em></h1>
<p class="hero-tagline r d1">One Model. Understand & Generate. Across All Medical Imaging.</p>
<p class="hero-sub r d2">A single unified architecture that reads medical images, answers clinical questions, writes diagnostic reports, and synthesizes new medical images across 8 modalities. No checkpoint switching. No separate models. One end-to-end system for the full spectrum of medical visual intelligence.</p>
<div class="hero-caps r d3">
<span class="hc">📋 Report Generation</span>
<span class="hc">🧠 Clinical Reasoning</span>
<span class="hc">🖼 Image Synthesis</span>
<span class="hc">🔄 Cross-Modal Translation</span>
<span class="hc">🔬 Virtual Staining</span>
<span class="hc">🔍 Super Resolution</span>
</div>
<div class="hero-stats r d4">
<div class="hs"><div class="hs-v">5.6M</div><div class="hs-l">Training Samples</div></div>
<div class="hs"><div class="hs-v">14B</div><div class="hs-l">Parameters</div></div>
<div class="hs"><div class="hs-v">8</div><div class="hs-l">Imaging Modalities</div></div>
<div class="hs"><div class="hs-v">13+</div><div class="hs-l">Eval Benchmarks</div></div>
</div>
<div class="scroll-cue r d5"><span>Scroll to explore</span><div class="scroll-arrow"></div></div>
</section>
<!-- ═══ 1. THE PROBLEM ═══ -->
<section class="slide s-problem" id="s1">
<div class="heading r">
<span class="over">Motivation</span>
<h2>Why Unified Matters</h2>
</div>
<div class="split">
<div class="split-card broken r d1">
<div class="sc-icon">🚫</div>
<div class="sc-title">Single-Capability Models</div>
<div class="sc-desc">Understanding models interpret images but produce no visual outputs. Generation models create images but offer no diagnostic explanations. Separate checkpoints fragment clinical workflows.</div>
<span class="sc-tag">Fragmented</span>
</div>
<div class="vs-badge r d2">VS</div>
<div class="split-card unified r d3">
<div class="sc-icon">✨</div>
<div class="sc-title">UniMedVL: One Model, All Tasks</div>
<div class="sc-desc">Unified understanding and generation within a single architecture. Cross-modal coupling enables mutual enhancement. No checkpoint reloading required between tasks.</div>
<span class="sc-tag">Unified</span>
</div>
</div>
</section>
<!-- ═══ 2. OKA FRAMEWORK ═══ -->
<section class="slide s-oka" id="s2">
<div class="heading r">
<span class="over">Framework</span>
<h2>Observation-Knowledge-Analysis</h2>
<p>A three-level paradigm mirroring how physicians process medical information.</p>
</div>
<div class="pillars">
<div class="pillar r d1">
<span class="p-num">01 Observation</span>
<h3>UniMed-5M Dataset</h3>
<p>Reformatting 30+ diverse single-modal datasets into structured multimodal pairs with rigorous quality control.</p>
<div class="p-stat">5.6M<small>multimodal samples</small></div>
</div>
<div class="pillar r d2">
<span class="p-num">02 Knowledge</span>
<h3>Progressive Curriculum</h3>
<p>Three-stage training: foundation for alignment, instruction tuning for reasoning, unified training for interleaved tasks.</p>
<div class="p-stat">3<small>training stages</small></div>
</div>
<div class="pillar r d3">
<span class="p-num">03 Analysis</span>
<h3>Unified Architecture</h3>
<p>Dual visual encoders with shared self-attention and specialized FFN layers. Joint NTP + rectified flow objectives.</p>
<div class="p-stat">14B<small>params (7B active)</small></div>
</div>
</div>
</section>
<!-- ═══ 3. ARCHITECTURE ═══ -->
<section class="slide s-arch" id="s3">
<div class="heading r">
<span class="over">Architecture</span>
<h2>Dual-Encoder Unified Design</h2>
</div>
<div class="arch-diagram r d1">
<div class="arch-row">
<div class="arch-block ab-vit">E<sub>VIT</sub><br><small>Understanding Encoder</small></div>
<div class="arch-block ab-vae">E<sub>VAE</sub><br><small>Generation Encoder</small></div>
<div class="arch-block ab-txt">Text Tokens<br><small>x<sub>text</sub></small></div>
</div>
<div class="arch-row"><span class="arch-arrow">▼ ▼ ▼</span></div>
<div class="arch-row">
<div class="arch-block ab-llm">Shared Self-Attention + Specialized FFN</div>
</div>
<div class="arch-row"><span class="arch-arrow">▼ ▼</span></div>
<div class="arch-row">
<div class="arch-block ab-out">Text Output<br><small>Next-Token Prediction</small></div>
<div class="arch-block ab-out">Image Output<br><small>Rectified Flow → D<sub>VAE</sub></small></div>
</div>
</div>
<div class="r d2">
<div class="loss-eq">ℒ(θ) = ℒ<sub>NTP</sub> + ℒ<sub>flow</sub></div>
</div>
<p class="arch-label r d3">Joint training exploits cross-modal mutual information: I(T<sub>out</sub>; z<sub>VAE</sub> | C) ≥ 0</p>
</section>
<!-- ═══ 4. UNDERSTANDING RESULTS ═══ -->
<section class="slide s-und" id="s4">
<div class="heading r">
<span class="over">Understanding</span>
<h2>Medical VQA Performance</h2>
<p>Outperforming specialized models with a unified architecture.</p>
</div>
<div class="table-wrap r d1">
<table class="res-table">
<thead><tr><th>Model</th><th>Params</th><th>VQA-RAD</th><th>SLAKE</th><th>PathVQA</th><th>OmniMedVQA</th><th>GMAI-MMB</th></tr></thead>
<tbody>
<tr><td>LLaVA-Med</td><td>7B</td><td>48.1</td><td>44.8</td><td>35.7</td><td>41.3</td><td>20.54</td></tr>
<tr><td>MedGemma-4B</td><td>4B</td><td>67.6</td><td>71.2</td><td>33.7</td><td>68.4</td><td>44.0</td></tr>
<tr><td>GMAI-VL</td><td>7B</td><td>66.3</td><td>72.9</td><td>39.8</td><td>88.5</td><td>61.74</td></tr>
<tr><td>HealthGPT-L14</td><td>14B</td><td>58.3</td><td>64.5</td><td>44.4</td><td>74.4</td><td>43.1</td></tr>
<tr><td>UniMedVL (Ours)</td><td>14B-A7B</td><td class="highlight-val">61.9</td><td class="highlight-val">75.4</td><td class="highlight-val">53.5</td><td class="highlight-val">85.8</td><td class="highlight-val">60.75</td></tr>
</tbody>
</table>
</div>
</section>
<!-- ═══ 5. GENERATION RESULTS ═══ -->
<section class="slide s-gen" id="s5">
<div class="heading r">
<span class="over">Generation</span>
<h2>Multi-Modality Image Synthesis</h2>
<p>Competitive FID scores across 8 medical imaging modalities. BioMedCLIP: 0.706 avg.</p>
</div>
<div class="gen-grid">
<div class="gen-card r"><div class="gc-mod">CFP</div><div class="gc-val">53.2</div><div class="gc-label">gFID</div></div>
<div class="gen-card r d1"><div class="gc-mod">CXR</div><div class="gc-val">73.0</div><div class="gc-label">gFID</div></div>
<div class="gen-card r d2"><div class="gc-mod">CT</div><div class="gc-val">73.0</div><div class="gc-label">gFID</div></div>
<div class="gen-card r d3"><div class="gc-mod">MRI</div><div class="gc-val">90.4</div><div class="gc-label">gFID</div></div>
<div class="gen-card r"><div class="gc-mod">OCT</div><div class="gc-val">99.3</div><div class="gc-label">gFID</div></div>
<div class="gen-card r d1"><div class="gc-mod">Ultra.</div><div class="gc-val">95.4</div><div class="gc-label">gFID</div></div>
<div class="gen-card r d2"><div class="gc-mod">HIS</div><div class="gc-val">149.0</div><div class="gc-label">gFID</div></div>
<div class="gen-card r d3"><div class="gc-mod">Endo.</div><div class="gc-val">133.1</div><div class="gc-label">gFID</div></div>
</div>
</section>
<!-- ═══ 6. CAPABILITIES ═══ -->
<section class="slide s-caps" id="s6">
<div class="heading r">
<span class="over">Tasks</span>
<h2>10 Medical AI Capabilities</h2>
</div>
<div class="cap-grid">
<div class="cap-item r"><span class="ci-icon">🧠</span><span class="ci-name">Clinical Reasoning</span><span class="ci-type ci-u">understand</span></div>
<div class="cap-item r d1"><span class="ci-icon">🎯</span><span class="ci-name">Disease Classification</span><span class="ci-type ci-u">understand</span></div>
<div class="cap-item r d2"><span class="ci-icon">📋</span><span class="ci-name">Report Generation</span><span class="ci-type ci-u">understand</span></div>
<div class="cap-item r d3"><span class="ci-icon">🖼</span><span class="ci-name">Text-to-Image</span><span class="ci-type ci-g">generate</span></div>
<div class="cap-item r d4"><span class="ci-icon">📝</span><span class="ci-name">Image Captioning</span><span class="ci-type ci-u">understand</span></div>
<div class="cap-item r"><span class="ci-icon">🔍</span><span class="ci-name">Super Resolution</span><span class="ci-type ci-i">interleaved</span></div>
<div class="cap-item r d1"><span class="ci-icon">🔄</span><span class="ci-name">Cross-Modal Synth.</span><span class="ci-type ci-i">interleaved</span></div>
<div class="cap-item r d2"><span class="ci-icon">🧪</span><span class="ci-name">Virtual Staining</span><span class="ci-type ci-i">interleaved</span></div>
<div class="cap-item r d3"><span class="ci-icon">🌀</span><span class="ci-name">Counterfactual Gen.</span><span class="ci-type ci-i">interleaved</span></div>
<div class="cap-item r d4"><span class="ci-icon">✂</span><span class="ci-name">Prompt Segment.</span><span class="ci-type ci-i">interleaved</span></div>
</div>
</section>
<!-- ═══ 7. KEY INSIGHT ═══ -->
<section class="slide s-insight" id="s7">
<div class="heading r">
<span class="over">Key Finding</span>
</div>
<blockquote class="insight-quote r d1">
Understanding and generation are <em>not</em> competing objectives. Joint training reduces predictive uncertainty by exploiting <em>cross-modal mutual information</em>.
</blockquote>
<div class="insight-evidence">
<div class="ie r d2"><div class="ie-val">108.4 → 96.3</div><div class="ie-desc">gFID improvement from joint training</div></div>
<div class="ie r d3"><div class="ie-val">+11.4%</div><div class="ie-desc">OmniMedVQA gain vs HealthGPT-L14</div></div>
<div class="ie r d4"><div class="ie-val">0.706</div><div class="ie-desc">BioMedCLIP score (best overall)</div></div>
</div>
</section>
<!-- ═══ 8. MODALITIES ═══ -->
<section class="slide s-mod" id="s8">
<div class="heading r">
<span class="over">Coverage</span>
<h2>8 Medical Imaging Modalities</h2>
</div>
<div class="mod-grid">
<div class="mod-card r"><span class="mc-emoji">🩻</span><div class="mc-name">X-Ray</div><div class="mc-sub">Chest radiographs</div></div>
<div class="mod-card r d1"><span class="mc-emoji">💠</span><div class="mc-name">CT</div><div class="mc-sub">Computed tomography</div></div>
<div class="mod-card r d2"><span class="mc-emoji">🧲</span><div class="mc-name">MRI</div><div class="mc-sub">Magnetic resonance</div></div>
<div class="mod-card r d3"><span class="mc-emoji">📷</span><div class="mc-name">Endoscopy</div><div class="mc-sub">Internal imaging</div></div>
<div class="mod-card r"><span class="mc-emoji">🔬</span><div class="mc-name">Histopathology</div><div class="mc-sub">Tissue analysis</div></div>
<div class="mod-card r d1"><span class="mc-emoji">👁</span><div class="mc-name">OCT</div><div class="mc-sub">Optical coherence</div></div>
<div class="mod-card r d2"><span class="mc-emoji">📡</span><div class="mc-name">Ultrasound</div><div class="mc-sub">Sonography</div></div>
<div class="mod-card r d3"><span class="mc-emoji">🟢</span><div class="mc-name">CFP</div><div class="mc-sub">Retinal fundus</div></div>
</div>
</section>
<!-- ═══ 9. EFFICIENCY ═══ -->
<section class="slide s-eff" id="s9">
<div class="heading r">
<span class="over">Efficiency</span>
<h2>Compute-Efficient Inference</h2>
<p>3.6x fewer FLOPs than BLIP3-o for generation, 4.1x fewer for VQA.</p>
</div>
<div class="eff-row">
<div class="eff-card r d1">
<div class="ef-val">40.0</div><div class="ef-label">TFLOPs / Image</div>
<div class="ef-desc">vs 142.6 for BLIP3-o (3.6x reduction)</div>
</div>
<div class="eff-card r d2">
<div class="ef-val">25.9</div><div class="ef-label">Tokens/s (VQA)</div>
<div class="ef-desc">2x faster than HealthGPT-L14</div>
</div>
<div class="eff-card r d3">
<div class="ef-val">28.4</div><div class="ef-label">GB Peak Memory</div>
<div class="ef-desc">Dual-encoder with 14B total params</div>
</div>
</div>
</section>
<!-- ═══ 10. ENTER ═══ -->
<section class="slide s-enter" id="enter">
<div class="heading r">
<span class="over">Explore</span>
<h2 class="enter-h">Dive Into the Full Project</h2>
<p class="enter-p">Interactive demos, visual comparisons, and comprehensive results await.</p>
</div>
<div class="enter-btns r d1">
<a href="./index.html?ready=1" class="ebtn ebtn-en"><span class="fl">🇬🇧</span> English</a>
<a href="./index_zh.html" class="ebtn ebtn-zh"><span class="fl">🇨🇳</span> 中文</a>
</div>
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}
// Also make last-slide enter buttons fade-transition
document.querySelectorAll('.ebtn').forEach(btn=>{
btn.addEventListener('click',function(e){
e.preventDefault();
fadeAndRedirect(this.getAttribute('href'));
});
});
// Auto-start after a brief delay for page load
setTimeout(()=>startAutoplay(),1500);
</script>
</body>
</html>