-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathindex.html
More file actions
894 lines (820 loc) · 43.9 KB
/
Copy pathindex.html
File metadata and controls
894 lines (820 loc) · 43.9 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<script>(function(){var p=new URLSearchParams(location.search);if(p.get('ready')){sessionStorage.setItem('landing_seen','1');return;}if(!sessionStorage.getItem('landing_seen')){location.replace('./landing.html');}})();</script>
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-2DKYYMZDSW"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-2DKYYMZDSW');
</script>
<meta name="description"
content="UniMedVL: A unified medical foundation model enabling both understanding and generation capabilities within a single architecture">
<meta name="keywords" content="UniMedVL, Medical AI, Vision-Language, Foundation Model, Medical Imaging, VQA">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="author" content="General Medical AI Research Team">
<meta name="robots" content="index, follow">
<!-- Google Search Console Verification -->
<meta name="google-site-verification" content="KtFSLjobIAfyLLx7TB7IrjqI35ciE49PMHhxo4a4xcA" />
<title>UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis</title>
<!-- Canonical URL -->
<link rel="canonical" href="https://uni-medical.github.io/UniMedVL_Web/">
<!-- Multilingual hreflang tags -->
<link rel="alternate" hreflang="en" href="https://uni-medical.github.io/UniMedVL_Web/index.html" />
<link rel="alternate" hreflang="zh" href="https://uni-medical.github.io/UniMedVL_Web/index_zh.html" />
<link rel="alternate" hreflang="x-default" href="https://uni-medical.github.io/UniMedVL_Web/index.html" />
<!-- Open Graph / Facebook -->
<meta property="og:type" content="website">
<meta property="og:url" content="https://uni-medical.github.io/UniMedVL_Web/">
<meta property="og:title" content="UniMedVL: Unifying Medical Multimodal Understanding and Generation">
<meta property="og:description" content="A unified medical foundation model enabling both understanding and generation capabilities within a single architecture">
<meta property="og:image" content="https://uni-medical.github.io/UniMedVL_Web/static/images/teaser.jpg">
<!-- Twitter -->
<meta property="twitter:card" content="summary_large_image">
<meta property="twitter:url" content="https://uni-medical.github.io/UniMedVL_Web/">
<meta property="twitter:title" content="UniMedVL: Unifying Medical Multimodal Understanding and Generation">
<meta property="twitter:description" content="A unified medical foundation model enabling both understanding and generation capabilities within a single architecture">
<meta property="twitter:image" content="https://uni-medical.github.io/UniMedVL_Web/static/images/teaser.jpg">
<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
rel="stylesheet">
<link rel="stylesheet" href="./static/css/bulma.min.css">
<link rel="stylesheet" href="./static/css/bulma-carousel.min.css">
<link rel="stylesheet" href="./static/css/bulma-slider.min.css">
<link rel="stylesheet" href="./static/css/fontawesome.all.min.css">
<link rel="stylesheet"
href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
<link rel="stylesheet" href="./static/css/index.css">
<link rel="stylesheet" href="./static/css/image-compare.css">
<link rel="icon" type="image/jpg" href="./static/images/favicon.jpg">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script defer src="./static/js/fontawesome.all.min.js"></script>
<script src="./static/js/bulma-carousel.min.js"></script>
<script src="./static/js/bulma-slider.min.js"></script>
<script src="./static/js/index.js"></script>
<script src="./static/js/image-compare.js"></script>
<!-- Structured Data (Schema.org JSON-LD) -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "ScholarlyArticle",
"name": "UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis",
"headline": "UniMedVL: A Unified Medical Foundation Model",
"description": "A unified medical foundation model enabling both understanding and generation capabilities within a single architecture. UniMedVL achieves superior performance on medical image understanding benchmarks while matching specialized models in generation quality across eight medical imaging modalities.",
"url": "https://uni-medical.github.io/UniMedVL_Web/",
"image": "https://uni-medical.github.io/UniMedVL_Web/static/images/teaser.jpg",
"datePublished": "2024-10-20",
"dateModified": "2025-01-16",
"author": {
"@type": "Organization",
"name": "General Medical AI Research Team",
"url": "https://uni-medical.github.io/UniMedVL_Web/"
},
"publisher": {
"@type": "Organization",
"name": "Shanghai Artificial Intelligence Laboratory"
},
"inLanguage": ["en", "zh"],
"about": [
{
"@type": "Thing",
"name": "Medical AI"
},
{
"@type": "Thing",
"name": "Vision-Language Model"
},
{
"@type": "Thing",
"name": "Medical Imaging"
},
{
"@type": "Thing",
"name": "Foundation Model"
}
],
"keywords": "UniMedVL, Medical AI, Vision-Language, Foundation Model, Medical Imaging, VQA, Medical Image Generation, Multimodal AI"
}
</script>
</head>
<body>
<nav class="navbar" role="navigation" aria-label="main navigation">
<div class="navbar-brand">
<a role="button" class="navbar-burger" aria-label="menu" aria-expanded="false">
<span aria-hidden="true"></span>
<span aria-hidden="true"></span>
<span aria-hidden="true"></span>
</a>
</div>
<div class="navbar-menu">
<div class="navbar-start" style="flex-grow: 1; justify-content: center;">
<a class="navbar-item" href="#overview">Overview</a>
<a class="navbar-item" href="#methodology">Methodology</a>
<a class="navbar-item" href="#results">Results</a>
</div>
<div class="navbar-end">
<div class="navbar-item">
<div class="buttons">
<a href="index_zh.html" class="button is-light">
<span class="icon">
<i class="fas fa-language"></i>
</span>
<span>中文</span>
</a>
</div>
</div>
</div>
</div>
</nav>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis</h1>
<div class="is-size-5" style="margin-top: 0.5rem; margin-bottom: 1rem; color: #6c757d; font-style: italic; font-weight: 500;">
Accepted at ICML 2026
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">
Junzhi Ning<sup>1*</sup>, Wei Li<sup>1,3*</sup>, Cheng Tang<sup>1,4*</sup>, Jiashi Lin<sup>1</sup>, Chenglong Ma<sup>2,5</sup>,<br>
Chaoyang Zhang<sup>2</sup>, Jiyao Liu<sup>1,5</sup>, Ying Chen<sup>1</sup>, Shujian Gao<sup>1,5</sup>, Yuandong Pu<sup>1,3</sup>,<br>
Huihui Xu<sup>1</sup>, Chenhui Gou<sup>7</sup>, Ziyan Huang<sup>1</sup>, Yi Xin<sup>1,2</sup>, Qi Qin<sup>1</sup>,<br>
Diping Song<sup>1</sup>, Bin Fu<sup>1</sup>, Guang Yang<sup>9</sup>, Yuanfeng Ji<sup>10</sup>, Tianbin Li<sup>1</sup>,<br>
Yanzhou Su<sup>8,12†</sup>, Jin Ye<sup>1,7</sup>, Shixiang Tang<sup>1</sup>, Zhongying Deng<sup>6</sup>, Lihao Liu<sup>1</sup>,<br>
Ming Hu<sup>1,7</sup>, Junjun He<sup>1,2†</sup>
</span>
</div>
<div class="is-size-6 publication-authors" style="margin-top: 1rem; line-height: 1.6;">
<span class="author-block">
<sup>1</sup>Shanghai Artificial Intelligence Laboratory,
<sup>2</sup>Shanghai Innovation Institute,
<sup>3</sup>Shanghai Jiao Tong University,<br>
<sup>4</sup>Shanghai Institute of Optics and Fine Mechanics,
<sup>5</sup>Fudan University,
<sup>6</sup>University of Cambridge,
<sup>7</sup>Monash University,<br>
<sup>8</sup>DAMO Academy, Alibaba Group,
<sup>9</sup>Imperial College London,
<sup>10</sup>The University of Hong Kong,<br>
<sup>12</sup>Hupan Lab
</span>
</div>
<div class="is-size-7 publication-authors" style="margin-top: 0.5rem;">
<span class="author-block">
<sup>*</sup>Equal contribution. <sup>†</sup>Corresponding author.
</span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- Placeholder Links -->
<span class="link-block">
<a href="https://arxiv.org/abs/2510.15710"
class="external-link button is-normal is-rounded is-dark"
onclick="gtag('event', 'click', {'event_category': 'outbound_link', 'event_label': 'paper_arxiv', 'value': 'https://arxiv.org/abs/2510.15710'});">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Paper</span>
</a>
</span>
<span class="link-block">
<a href="https://github.com/uni-medical/UniMedVL"
class="external-link button is-normal is-rounded is-dark"
onclick="gtag('event', 'click', {'event_category': 'outbound_link', 'event_label': 'github_code', 'value': 'https://github.com/uni-medical/UniMedVL'});">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
<span class="link-block">
<a href="https://huggingface.co/General-Medical-AI/UniMedVL"
class="external-link button is-normal is-rounded is-dark"
onclick="gtag('event', 'click', {'event_category': 'outbound_link', 'event_label': 'huggingface_model', 'value': 'https://huggingface.co/General-Medical-AI/UniMedVL'});">
<span class="icon">
<i class="fas fa-cube"></i>
</span>
<span>Model</span>
</a>
</span>
<span class="link-block">
<a href="https://huggingface.co/datasets/General-Medical-AI/UniMed-5M"
class="external-link button is-normal is-rounded is-dark"
onclick="gtag('event', 'click', {'event_category': 'outbound_link', 'event_label': 'huggingface_dataset', 'value': 'https://huggingface.co/datasets/General-Medical-AI/UniMed-5M'});">
<span class="icon">
<i class="fas fa-database"></i>
</span>
<span>Dataset</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<img src="./static/images/teaser.jpg" alt="UniMedVL Overview" style="width: 100%; border-radius: 10px;" loading="lazy">
</div>
</div>
</section>
<!-- Abstract Section -->
<section class="section" style="background-color: #f8f9fa;">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column is-four-fifths">
<h2 class="title is-3 has-text-centered">Abstract</h2>
<div class="content has-text-justified" style="font-size: 1.05rem; line-height: 1.8;">
<p>
Clinical diagnosis demands models that can process multimodal medical inputs (images, patient histories, lab results) and generate diverse outputs including both textual reports and visual content (annotations, segmentation masks, and images). Despite this need, existing medical AI systems disrupt this unified process: medical image understanding models interpret images but cannot generate visual outputs, while medical image generation models synthesize images but cannot provide textual explanations. This leads to gaps in data representation, feature integration, and task-level multimodal capabilities.
</p>
<p>
To this end, we propose a multi-level framework that mirrors clinical diagnosis through the <strong>Observation-Knowledge-Analysis (OKA) paradigm</strong>. Specifically, at the observation level, we construct UniMed-5M, a dataset comprising over <strong>5.6 million samples</strong> that reformat diverse unimodal data into multimodal pairs for foundational observation. At the knowledge level, we propose <strong>Progressive Curriculum Learning</strong> that systematically introduces medical multimodal knowledge. At the analysis level, we introduce <strong>UniMedVL</strong>—a medical unified multimodal model designed within the OKA paradigm for comprehensive analysis of image understanding and generation tasks <strong>within a single architecture</strong>.
</p>
<p>
<strong>UniMedVL achieves superior performance on five medical image understanding benchmarks, while matching specialized models in generation quality across eight medical imaging modalities</strong>. Crucially, our unified architecture enables bidirectional knowledge sharing—generation tasks enhance visual understanding features, demonstrating that integrating traditionally separate capabilities within a single medical framework unlocks improvements across diverse clinical scenarios.
</p>
</div>
</div>
</div>
</div>
</section>
<!-- Overview Section -->
<section class="section" id="overview">
<div class="container is-max-desktop">
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Core Innovation</h2>
<!-- Clinical Scenario -->
<div class="notification is-info is-light" style="text-align: left; margin: 2rem 0;">
<h4 class="title is-5">🏥 Clinical Diagnosis: A Multimodal Process</h4>
<p style="margin-bottom: 1rem;">
Consider a radiologist examining suspected lung pathology: they systematically process <strong>chest X-rays</strong> (visual), <strong>prior CT scans</strong> (cross-modal comparison), and <strong>patient history</strong> (textual) to generate multiple complementary outputs:
</p>
<ul style="margin-left: 2rem;">
<li><strong>Detailed reports</strong> describing findings and reasoning</li>
<li><strong>Visual annotations</strong> highlighting specific regions of concern</li>
<li><strong>Comparative visualizations</strong> for treatment planning and surgical guidance</li>
</ul>
<p style="margin-top: 1rem;">
This exemplifies how clinical diagnosis requires <strong>unified processing of multimodal inputs to generate diverse multimodal outputs</strong>, where neither textual reports alone (lacking spatial localization) nor visual annotations alone (lacking reasoning context) suffice.
</p>
</div>
<!-- Problem Statement -->
<div class="notification is-warning is-light" style="text-align: left; margin: 2rem 0;">
<h4 class="title is-5">🔴 Three-Level Fragmentation in Existing Medical AI</h4>
<p style="margin-bottom: 1rem;">
Despite multimodal fusion demonstrating substantial improvements in clinical decision-making, current medical AI remains fragmented at three critical levels:
</p>
<div style="margin-left: 1.5rem; margin-bottom: 1rem;">
<p><strong>① Data Level:</strong> Medical datasets remain predominantly single-modal despite clear evidence that multimodal integration substantially improves diagnostic accuracy. Most datasets lack the paired multimodal structure needed for unified training.</p>
</div>
<div style="margin-left: 1.5rem; margin-bottom: 1rem;">
<p><strong>② Feature Level:</strong> Current approaches lack systematic progressive training strategies for deep cross-modal relationships. Most methods simply concatenate features rather than progressively building from basic pattern recognition to sophisticated multimodal reasoning.</p>
</div>
<div style="margin-left: 1.5rem; margin-bottom: 1rem;">
<p><strong>③ Task Level:</strong> While general-domain models have made progress in unified architectures, the medical domain still lacks truly unified models. For instance, <strong>HealthGPT</strong> demonstrates both understanding and generation capabilities but requires <strong>reloading different model checkpoints</strong> to switch between task types—a limitation that prevents seamless multi-task operation in clinical workflows.</p>
</div>
<p style="margin-top: 1rem; padding: 0.75rem; background-color: #fff3cd; border-radius: 5px;">
<strong>📊 Performance Gap:</strong> Current medical AI systems achieve less than <strong>60% accuracy</strong> compared to over <strong>90%</strong> for human experts on diagnostic challenges, highlighting the urgent need for unified approaches.
</p>
</div>
<!-- Solution -->
<div class="notification is-success is-light" style="text-align: left; margin: 2rem 0;">
<h4 class="title is-5">✅ UniMedVL: Unified Architecture for Medical Data across 8 Modalities</h4>
<p>
<strong>UniMedVL leverages the OKA framework to achieve comprehensive medical multimodal understanding and generation within a single model checkpoint.</strong> Once loaded, it seamlessly handles:
</p>
<ul>
<li>📖 <strong>Understanding Tasks</strong>: Medical VQA, image captioning, diagnostic report generation</li>
<li>🎨 <strong>Generation Tasks</strong>: Text-to-image synthesis, cross-modal translation (CT↔MRI), virtual staining</li>
<li>🔀 <strong>Interleaved Tasks</strong>: Counterfactual generation (simultaneous image + explanatory text), super-resolution, segmentation</li>
</ul>
<p style="margin-top: 1rem;">
<strong>Key Advantage</strong>: No offline checkpoint switching—single model completes all tasks ✨
</p>
</div>
<!-- Key Numbers -->
<div class="content has-text-justified">
<h3 class="title is-4 has-text-centered" style="margin-top: 2rem;">Key Statistics</h3>
<div class="columns" style="margin-top: 1.5rem;">
<div class="column">
<div class="box" style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; text-align: center;">
<p class="title is-2" style="color: white; margin-bottom: 0.5rem;">5.6M+</p>
<p class="subtitle is-5" style="color: white;">Training Samples</p>
<p style="font-size: 0.9rem;">9 medical imaging modalities</p>
</div>
</div>
<div class="column">
<div class="box" style="background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%); color: white; text-align: center;">
<p class="title is-2" style="color: white; margin-bottom: 0.5rem;">96.29</p>
<p class="subtitle is-5" style="color: white;">Average gFID</p>
<p style="font-size: 0.9rem;">Matching specialized generation models</p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Methodology Section -->
<section class="section" id="methodology">
<div class="container is-max-desktop">
<!-- OKA Framework -->
<div class="columns is-centered has-text-centered">
<div class="column is-full-width">
<h2 class="title is-3">OKA Framework: Observation-Knowledge-Analysis</h2>
<div class="content has-text-justified">
<p>
UniMedVL follows a clinical workflow-guided three-level framework that mirrors how physicians process medical information:
</p>
</div>
<div class="content has-text-left" style="max-width: 800px; margin: 2rem auto;">
<ol>
<li><strong>Observation Level (Data)</strong>: Construct UniMed-5M dataset with quality control and expert validation</li>
<li><strong>Knowledge Level (Features)</strong>: Progressive curriculum learning and cross-modal knowledge fusion</li>
<li><strong>Analysis Level (Tasks)</strong>: Unified architecture producing multimodal outputs (reports, images, annotations)</li>
</ol>
</div>
</div>
</div>
<hr style="margin: 3rem 0;">
<!-- Architecture -->
<div class="columns is-centered has-text-centered">
<div class="column is-full-width">
<h2 class="title is-3">Data Pipeline and Model Architecture</h2>
<img src="./static/images/overview_ver3.jpg" alt="Architecture Overview" style="width: 100%; border-radius: 10px;" loading="lazy">
<p style="margin-top: 1rem;"><em>Comprehensive data processing pipeline and model architecture overview</em></p>
</div>
</div>
<hr style="margin: 3rem 0;">
<!-- Training Strategy -->
<div class="columns is-centered">
<div class="column is-full-width">
<h2 class="title is-3 has-text-centered">Progressive Training Strategy</h2>
<div class="content has-text-justified">
<p><strong>Three-Stage Progressive Curriculum Learning:</strong></p>
<div class="columns">
<div class="column">
<h4>🔧 Stage 1 - Foundation Training</h4>
<ul>
<li>85K training steps</li>
<li>Basic medical pattern recognition</li>
<li>Visual-language alignment</li>
<li>Data ratio: 75% I2T, 25% T2I</li>
</ul>
</div>
<div class="column">
<h4>📚 Stage 2 - Instruction Tuning</h4>
<ul>
<li>120K training steps</li>
<li>Cross-modal understanding enhancement</li>
<li>Medical expertise development</li>
<li>Data ratio: 40% I2T, 45% T2I, 10% Interleaved</li>
</ul>
</div>
<div class="column">
<h4>🚀 Stage 3 - Unified Training</h4>
<ul>
<li>70K training steps</li>
<li>Advanced multimodal synthesis</li>
<li>Interleaved task mastery</li>
<li>Data ratio: 37% I2T, 35% T2I, 25% Interleaved</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Performance Highlights Section -->
<section class="section" style="background-color: #f8f9fa;">
<div class="container is-max-desktop">
<h2 class="title is-2 has-text-centered">Performance Highlights</h2>
<p class="subtitle has-text-centered" style="margin-bottom: 3rem;">
Single model, comprehensive coverage of understanding, generation, and interleaved tasks
</p>
<!-- Understanding Performance -->
<div style="margin: 3rem 0;">
<h3 class="title is-3 has-text-centered" style="color: #667eea;">📖 Medical Image Understanding</h3>
<div class="columns is-multiline">
<div class="column is-one-third">
<div class="box" style="border-left: 4px solid #667eea;">
<p class="heading">PathVQA</p>
<p class="title is-3">53.5%</p>
<p class="subtitle is-6">vs. HealthGPT-L14 44.4%</p>
</div>
</div>
<div class="column is-one-third">
<div class="box" style="border-left: 4px solid #667eea;">
<p class="heading">OmniMedVQA</p>
<p class="title is-3">85.8%</p>
<p class="subtitle is-6">vs. GMAI-VL 88.5%</p>
</div>
</div>
<div class="column is-one-third">
<div class="box" style="border-left: 4px solid #667eea;">
<p class="heading">VQA-RAD</p>
<p class="title is-3">61.9%</p>
<p class="subtitle is-6">vs. GMAI-VL 66.3%</p>
</div>
</div>
<div class="column is-one-third">
<div class="box" style="border-left: 4px solid #667eea;">
<p class="heading">GMAI-MMBench</p>
<p class="title is-3">60.75%</p>
<p class="subtitle is-6">Comprehensive medical multimodal benchmark</p>
</div>
</div>
</div>
</div>
<!-- Generation Performance -->
<div style="margin: 3rem 0;">
<h3 class="title is-3 has-text-centered" style="color: #f5576c;">🎨 Medical Image Generation</h3>
<div class="columns is-multiline">
<div class="column is-one-quarter">
<div class="box" style="border-left: 4px solid #f5576c;">
<p class="heading">Chest X-ray (CXR)</p>
<p class="title is-4">73.04</p>
<p class="subtitle is-6">gFID</p>
</div>
</div>
<div class="column is-one-quarter">
<div class="box" style="border-left: 4px solid #f5576c;">
<p class="heading">Histopathology (HIS)</p>
<p class="title is-4">149.01</p>
<p class="subtitle is-6">gFID</p>
</div>
</div>
<div class="column is-one-quarter">
<div class="box" style="border-left: 4px solid #f5576c;">
<p class="heading">Fundus Photo (CFP)</p>
<p class="title is-4">53.20</p>
<p class="subtitle is-6">gFID</p>
</div>
</div>
<div class="column is-one-quarter">
<div class="box" style="border-left: 4px solid #f5576c;">
<p class="heading">CT Scan</p>
<p class="title is-4">73.04</p>
<p class="subtitle is-6">gFID</p>
</div>
</div>
<div class="column is-one-quarter">
<div class="box" style="border-left: 4px solid #f5576c;">
<p class="heading">MRI</p>
<p class="title is-4">90.36</p>
<p class="subtitle is-6">gFID</p>
</div>
</div>
<div class="column is-one-quarter">
<div class="box" style="border-left: 4px solid #f5576c;">
<p class="heading">OCT</p>
<p class="title is-4">99.27</p>
<p class="subtitle is-6">gFID</p>
</div>
</div>
<div class="column is-one-quarter">
<div class="box" style="border-left: 4px solid #f5576c;">
<p class="heading">Ultrasound</p>
<p class="title is-4">95.38</p>
<p class="subtitle is-6">gFID</p>
</div>
</div>
<div class="column is-one-quarter">
<div class="box" style="border-left: 4px solid #f5576c;">
<p class="heading">Endoscopy</p>
<p class="title is-4">133.11</p>
<p class="subtitle is-6">gFID</p>
</div>
</div>
</div>
<p class="has-text-centered" style="margin-top: 1rem;">
<span class="tag is-success is-medium">Average gFID: 96.29</span>
<span class="tag is-info is-medium" style="margin-left: 1rem;">BioMedCLIP: 0.706</span>
</p>
</div>
<!-- Interleaved Tasks Performance -->
<div style="margin: 3rem 0;">
<h3 class="title is-3 has-text-centered" style="color: #00f2fe;">🔀 Interleaved Tasks (Understanding + Generation)</h3>
<div class="columns">
<div class="column">
<div class="box" style="border-left: 4px solid #00f2fe;">
<p class="heading">Virtual Immunohistochemistry Staining</p>
<p class="title is-3">20.27 / 0.456</p>
<p class="subtitle is-6">PSNR / SSIM</p>
</div>
</div>
<div class="column">
<div class="box" style="border-left: 4px solid #00f2fe;">
<p class="heading">MRI Super-Resolution (4×)</p>
<p class="title is-3">27.29 / 0.890</p>
<p class="subtitle is-6">PSNR / SSIM</p>
</div>
</div>
<div class="column">
<div class="box" style="border-left: 4px solid #00f2fe;">
<p class="heading">Cross-Modal Synthesis (T2↔FLAIR)</p>
<p class="title is-3">25.07 / 0.882</p>
<p class="subtitle is-6">Average PSNR / SSIM</p>
</div>
</div>
</div>
<div class="columns">
<div class="column is-half is-offset-one-quarter">
<div class="box" style="border-left: 4px solid #00f2fe; background-color: #e8f9ff;">
<p class="heading">Counterfactual Generation (Image + Text Explanation)</p>
<p class="title is-4">gFID: 27.17 | AUROC: 0.797</p>
<p class="subtitle is-6">BLEU-3: 0.2641 | METEOR: 0.4486 | ROUGE-L: 0.4649</p>
</div>
</div>
</div>
</div>
<!-- Unified Architecture Advantage -->
<div class="notification is-primary is-light" style="margin-top: 3rem;">
<h4 class="title is-4 has-text-centered">🌟 Clinical Advantages of Unified Architecture</h4>
<div class="columns">
<div class="column">
<p style="text-align: center;">
<span class="icon is-large" style="color: #3273dc;"><i class="fas fa-check-circle fa-2x"></i></span>
</p>
<p style="text-align: center; font-weight: bold;">Seamless Task Switching</p>
<p style="text-align: center; font-size: 0.9rem;">Complete all tasks<br>without switching checkpoints</p>
</div>
<div class="column">
<p style="text-align: center;">
<span class="icon is-large" style="color: #3273dc;"><i class="fas fa-sync-alt fa-2x"></i></span>
</p>
<p style="text-align: center; font-weight: bold;">Bidirectional Knowledge Sharing</p>
<p style="text-align: center; font-size: 0.9rem;">Generation tasks enhance understanding<br>Understanding tasks optimize generation</p>
</div>
<div class="column">
<p style="text-align: center;">
<span class="icon is-large" style="color: #3273dc;"><i class="fas fa-hospital fa-2x"></i></span>
</p>
<p style="text-align: center; font-weight: bold;">Clinical Workflow Integration</p>
<p style="text-align: center; font-size: 0.9rem;">Aligning with clinical practice<br>Observation-Knowledge-Analysis workflow</p>
</div>
</div>
</div>
</div>
</section>
<!-- Results Section -->
<section class="section" id="results">
<div class="container is-max-desktop">
<h2 class="title is-2 has-text-centered">Experimental Results Visualization</h2>
<!-- Performance Comparison -->
<div style="margin: 3rem 0;">
<h3 class="title is-3 has-text-centered">Performance Visualization Comparison</h3>
<img src="./static/images/topline_performance.jpg" alt="Performance Comparison" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 1rem;"><em>Comprehensive performance comparison across different training stages and modalities</em></p>
</div>
<!-- Multimodal Tasks -->
<div style="margin: 3rem 0;">
<h3 class="title is-3 has-text-centered">Multimodal Task Demonstrations</h3>
<img src="./static/images/fig_results_ver2.jpg" alt="Multimodal Results" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 1rem;"><em>Comprehensive visualization of UniMedVL's multimodal capabilities</em></p>
</div>
<!-- VQA and Report Generation -->
<div style="margin: 3rem 0;">
<div style="margin-bottom: 3rem;">
<h3 class="title is-4">💬 Medical Visual Question Answering</h3>
<img src="./static/images/visual_question_answering.jpg?v=2" alt="VQA Examples" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; color: #667eea; font-weight: bold;">Accuracy: SLAKE 75.4% | PathVQA 53.5%</p>
</div>
<div>
<h3 class="title is-4">📄 Medical Report Generation</h3>
<img src="./static/images/reportgeneration.jpg?v=2" alt="Report Generation" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; color: #667eea; font-weight: bold;">Generating detailed medical diagnostic reports</p>
</div>
</div>
<!-- Text-to-Image -->
<div style="margin: 3rem 0;">
<h3 class="title is-3 has-text-centered">🎨 Text-Driven Medical Image Generation</h3>
<div style="margin-bottom: 2rem;">
<img src="./static/images/text2img1.jpg?v=2" alt="T2I Example 1" style="width: 100%; border-radius: 10px;" loading="lazy">
</div>
<div style="margin-bottom: 2rem;">
<img src="./static/images/text2img2.jpg?v=2" alt="T2I Example 2" style="width: 100%; border-radius: 10px;" loading="lazy">
</div>
<p class="has-text-centered" style="margin-top: 1rem;">
<em>High-quality text-driven image generation across 8 medical imaging modalities</em>
<br>
<span class="tag is-success is-medium" style="margin-top: 0.5rem;">Average gFID: 96.29 | BioMedCLIP: 0.706</span>
</p>
</div>
<!-- VAE Reconstruction -->
<div style="margin: 3rem 0;">
<h3 class="title is-3 has-text-centered">🔬 VAE Reconstruction Quality</h3>
<img src="./static/images/vae_demo_ver1.jpg" alt="VAE Reconstruction" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 1rem;"><em>Qualitative comparison across diverse medical imaging modalities</em></p>
</div>
<!-- Interactive Image Comparison -->
<div style="margin: 3rem 0;">
<!-- 第一行: 2个对比 -->
<div class="columns is-variable is-4 is-multiline" style="max-width: 1200px; margin: 0 auto 2rem auto;">
<div class="column is-half">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/1_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/1.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
<div class="column is-half">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/2_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/2.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
</div>
<!-- 第二行: 3个对比 -->
<div class="columns is-variable is-4 is-multiline" style="max-width: 1200px; margin: 0 auto 2rem auto;">
<div class="column is-one-third">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/150_mr_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/150_mr_input.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
<div class="column is-one-third">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/105_t2f_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/105_t2f_input.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
<div class="column is-one-third">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/59_t2f_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/59_t2f_input.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
</div>
<!-- 第三行: 3个对比 -->
<div class="columns is-variable is-4 is-multiline" style="max-width: 1200px; margin: 0 auto 2rem auto;">
<div class="column is-one-third">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/IXI441-HH-2154-T2_72_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/IXI441-HH-2154-T2_72_input.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
<div class="column is-one-third">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/00001_test_2+_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/00001_test_2+_input.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
<div class="column is-one-third">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/case_M_20181004130627_0U62365100475026_1_002_001-1_a5_ayy_image0063_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/case_M_20181004130627_0U62365100475026_1_002_001-1_a5_ayy_image0063_input.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
</div>
<!-- 第四行: 2个对比 -->
<div class="columns is-variable is-4 is-multiline" style="max-width: 1200px; margin: 0 auto;">
<div class="column is-half">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/df21b6dd-32b7-4edd-8b7b-fa1a35e0c043_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/df21b6dd-32b7-4edd-8b7b-fa1a35e0c043_input.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
<div class="column is-half">
<div class="image-compare-container">
<div class="image-compare-wrapper">
<img src="./static/images/comparison/94a7ba94-9251-42c8-84b6-c3cac85a78ec_generated.png" alt="Generated" class="image-compare-after">
<div class="image-compare-overlay">
<img src="./static/images/comparison/94a7ba94-9251-42c8-84b6-c3cac85a78ec_input.png" alt="Input">
</div>
<div class="image-compare-slider"></div>
</div>
</div>
</div>
</div>
</div>
<hr style="margin: 3rem 0;">
<!-- Medical Imaging Modalities Gallery -->
<div style="margin: 3rem 0;">
<h3 class="title is-3 has-text-centered">🔬 Medical Imaging Modalities</h3>
<p class="subtitle has-text-centered" style="margin-bottom: 2rem;">
Eight different medical imaging modalities supported by UniMedVL
</p>
<div style="margin-top: 2rem;">
<div style="text-align: center; margin-bottom: 2rem;">
<img src="./static/images/cxr.jpg" alt="Chest X-ray" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; font-weight: bold;">Chest X-ray (CXR)</p>
</div>
<div style="text-align: center; margin-bottom: 2rem;">
<img src="./static/images/ct.jpg" alt="CT Scan" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; font-weight: bold;">CT Scan</p>
</div>
<div style="text-align: center; margin-bottom: 2rem;">
<img src="./static/images/mri.jpg" alt="MRI" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; font-weight: bold;">MRI</p>
</div>
<div style="text-align: center; margin-bottom: 2rem;">
<img src="./static/images/ultrasound.jpg" alt="Ultrasound" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; font-weight: bold;">Ultrasound</p>
</div>
<div style="text-align: center; margin-bottom: 2rem;">
<img src="./static/images/oct.jpg" alt="OCT" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; font-weight: bold;">OCT (Optical Coherence Tomography)</p>
</div>
<div style="text-align: center; margin-bottom: 2rem;">
<img src="./static/images/retinal.jpg" alt="Retinal Fundus" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; font-weight: bold;">Retinal Fundus Photo</p>
</div>
<div style="text-align: center; margin-bottom: 2rem;">
<img src="./static/images/his.jpg" alt="Histopathology" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; font-weight: bold;">Histopathology (HIS)</p>
</div>
<div style="text-align: center; margin-bottom: 2rem;">
<img src="./static/images/endoscopy.jpg" alt="Endoscopy" style="width: 100%; border-radius: 10px;" loading="lazy">
<p class="has-text-centered" style="margin-top: 0.5rem; font-weight: bold;">Endoscopy</p>
</div>
</div>
</div>
</div>
</section>
<footer class="footer">
<div class="container">
<div class="columns is-centered">
<div class="column is-8">
<div class="content">
<!-- Acknowledgments -->
<h3 class="title is-4 has-text-centered">🙏 Acknowledgments</h3>
<p class="has-text-centered">
We sincerely thank the following projects for their invaluable open-source contributions:
<a href="https://github.com/ByteDance-Seed/Bagel">Bagel</a>,
<a href="https://github.com/DCDmllm/HealthGPT">HealthGPT</a>,
<a href="https://github.com/End2End-Diffusion/REPA-E">REPA-E</a>, and
<a href="https://github.com/open-compass/VLMEvalKit">VLMEvalKit</a>.
</p>
<hr style="margin: 2rem 0;">
<!-- License and Template Credit -->
<p class="has-text-centered">
This website is licensed under a <a rel="license"
href="http://creativecommons.org/licenses/by-sa/4.0/">Creative
Commons Attribution-ShareAlike 4.0 International License</a>.
</p>
<p class="has-text-centered">
Website template borrowed from <a href="https://github.com/nerfies/nerfies.github.io">Nerfies</a>.
Thank you for the excellent design!
</p>
</div>
</div>
</div>
</div>
</footer>
</body>
</html>