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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Cortex Vision</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css">
<style>
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
:root {
--rose: #8C3253;
--rose-muted: #8C566A;
--rose-soft: #BF95A5;
--rose-light: #F2D5E0;
--bg: #fafafa;
--white: #ffffff;
--text: #1a1a2e;
--text-secondary: #555;
--text-muted: #888;
--border: #eee;
--radius: 16px;
--shadow-sm: 0 1px 3px rgba(0,0,0,0.04);
--shadow-md: 0 4px 20px rgba(0,0,0,0.06);
--shadow-hover: 0 8px 30px rgba(140,50,83,0.08);
}
body {
font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
color: var(--text);
background: var(--bg);
line-height: 1.6;
-webkit-font-smoothing: antialiased;
}
.container {
max-width: 960px;
margin: 0 auto;
padding: 0 24px;
}
/* ── Header ── */
header {
padding: 48px 0 0;
text-align: center;
}
header img.logo {
width: 220px;
height: auto;
display: block;
margin: 0 auto 12px;
}
.tagline {
font-size: 0.95rem;
color: var(--text-muted);
font-weight: 400;
letter-spacing: 0.04em;
}
/* ── Sections ── */
section {
padding: 64px 0;
}
section + section {
border-top: 1px solid var(--border);
}
.section-label {
text-transform: uppercase;
font-size: 0.7rem;
font-weight: 600;
letter-spacing: 0.12em;
color: var(--rose);
text-align: center;
margin-bottom: 8px;
}
section h2 {
text-align: center;
font-weight: 700;
font-size: 1.75rem;
color: var(--text);
margin-bottom: 8px;
letter-spacing: -0.02em;
}
section > .section-desc {
text-align: center;
color: var(--text-secondary);
max-width: 560px;
margin: 0 auto 40px;
font-size: 0.95rem;
}
/* ── Product cards ── */
.products-list {
list-style: none;
display: flex;
flex-direction: column;
gap: 12px;
}
.products-list li {
background: var(--white);
border: 1px solid var(--border);
padding: 28px 32px;
border-radius: var(--radius);
box-shadow: var(--shadow-sm);
transition: box-shadow 0.3s ease, transform 0.2s ease;
}
.products-list li:hover {
box-shadow: var(--shadow-hover);
transform: translateY(-2px);
}
.products-list li h3 {
display: flex;
align-items: center;
gap: 10px;
font-size: 1rem;
font-weight: 600;
color: var(--text);
margin-bottom: 8px;
}
.products-list li h3 i {
font-size: 18px;
color: var(--rose);
width: 36px;
height: 36px;
display: flex;
align-items: center;
justify-content: center;
background: var(--rose-light);
border-radius: 10px;
flex-shrink: 0;
}
.products-list li p {
color: var(--text-secondary);
font-size: 0.9rem;
line-height: 1.7;
margin: 0;
}
/* ── Grid cards (team, research) ── */
.grid-container {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
gap: 16px;
}
.grid-item {
background: var(--white);
border: 1px solid var(--border);
border-radius: var(--radius);
padding: 28px;
box-shadow: var(--shadow-sm);
text-align: left;
transition: box-shadow 0.3s ease, transform 0.2s ease;
}
.grid-item:hover {
box-shadow: var(--shadow-hover);
transform: translateY(-2px);
}
.grid-item h3 {
font-size: 0.95rem;
font-weight: 600;
color: var(--text);
margin-bottom: 8px;
}
#team .grid-item h3 {
color: var(--rose);
}
.grid-item p {
color: var(--text-secondary);
font-size: 0.87rem;
line-height: 1.65;
margin-bottom: 4px;
}
.grid-item p:last-child {
margin-bottom: 0;
}
/* ── Partners ── */
.partners-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(260px, 1fr));
gap: 16px;
}
.partner-card a {
display: flex;
flex-direction: column;
align-items: center;
text-decoration: none;
background: var(--white);
border: 1px solid var(--border);
border-radius: var(--radius);
padding: 32px 24px;
box-shadow: var(--shadow-sm);
transition: box-shadow 0.3s ease, transform 0.2s ease;
height: 100%;
}
.partner-card a:hover {
box-shadow: var(--shadow-hover);
transform: translateY(-2px);
}
.partner-card img {
height: 48px;
width: auto;
margin-bottom: 16px;
object-fit: contain;
}
.partner-card h3 {
color: var(--text);
font-size: 0.95rem;
font-weight: 600;
margin-bottom: 4px;
text-align: center;
}
.partner-card .location {
color: var(--text-muted);
font-size: 0.78rem;
margin-bottom: 12px;
}
.partner-card .desc {
color: var(--text-secondary);
font-size: 0.84rem;
line-height: 1.6;
text-align: center;
}
/* ── Footer ── */
footer {
text-align: center;
padding: 32px 0;
border-top: 1px solid var(--border);
font-size: 0.8rem;
color: var(--text-muted);
letter-spacing: 0.02em;
}
/* ── Responsive ── */
@media (max-width: 640px) {
header {
padding: 32px 0 0;
}
header img.logo {
width: 180px;
}
section {
padding: 48px 0;
}
section h2 {
font-size: 1.4rem;
}
.products-list li {
padding: 20px;
}
.grid-item, .partner-card a {
padding: 20px;
}
}
</style>
</head>
<body>
<div class="container">
<header>
<img src="assets/imgs/logo_new.svg" alt="Cortex Vision Logo" class="logo">
<p class="tagline">Cortex Vision</p>
<p class="tagline">AI-powered medical technology</p>
</header>
<main>
<section id="products">
<p class="section-label">Products</p>
<h2>What we build</h2>
<p class="section-desc">Intelligent tools designed to enhance clinical efficiency and elevate the quality of healthcare.</p>
<ul class="products-list">
<li>
<h3>
<i class="fas fa-microscope"></i>
ABIGAIL
</h3>
<p>ABIGAIL develops an AI-based system for noninvasive classification of high-grade brain gliomas by integrating MRI imaging with clinical and laboratory data. This approach aims to accelerate diagnosis by replacing invasive biopsies, reduce complications and healthcare costs, and enable faster, more precise treatment decisions. Current Status: TRL 2 → TRL 3.</p>
</li>
<li>
<h3>
<i class="fas fa-brain"></i>
BRAIN
</h3>
<p>In brAIn, we are developing an AI-powered system for automatic detection of intracranial bleeding from CT scans. The solution will prioritize critical cases for immediate radiologist review, enabling faster diagnosis and timely intervention in life-threatening emergencies. Current Status: TRL 2 → TRL 3.</p>
</li>
<li>
<h3>
<i class="fas fa-project-diagram"></i>
BRIDGE
</h3>
<p>BRIDGE is an advanced data harmonization platform that unifies heterogeneous and unstructured medical databases, enabling seamless AI training and deployment. Its research arm, CLEAN (Clinical Language Engine for Automated Narratives), leverages AI to automatically summarize patients' disease evolution for shift handovers, discharge reports, and examination requests. Current Status: TRL 3.</p>
</li>
<li>
<h3>
<i class="fas fa-file-medical-alt"></i>
CLEAN
</h3>
<p>Project CLEAN (Clinical Language Engine for Automated Narratives) is an AI-driven system designed to automatically generate structured clinical documents—such as discharge summaries or DRG codes—directly from unstructured hospital data like admission letters and daily clinical notes. Current Status: TRL 3.</p>
</li>
<li>
<h3>
<i class="fas fa-user-shield"></i>
GhostEMR
</h3>
<p>GhostEMR is a specialized, GDPR-compliant software solution designed for the secure anonymization and de-identification of Electronic Health Records (EHR). It processes a wide range of medical documentation — from outpatient consults and admission letters to daily clinical notes, laboratory and imaging results, inpatient consults, discharge summaries, and DRG codes. GhostEMR uses advanced algorithms to remove or mask personally identifiable information while preserving the statistical and clinical integrity of datasets, enabling healthcare institutions to safely share and analyze patient data for research, innovation, and quality improvement. Current Status: TRL 9.</p>
</li>
</ul>
</section>
<section id="team">
<p class="section-label">Team</p>
<h2>The people behind it</h2>
<p class="section-desc">A group of passionate researchers and clinicians committed to innovation and excellence.</p>
<div class="grid-container">
<div class="grid-item">
<h3>Peter Drotar</h3>
<p>Peter Drotar, MSc, PhD, serves as a full professor at the Technical University of Kosice. His expertise lies in machine learning, medical imaging, and biomedical signal processing. A former Honeywell scientist and ESET Science Award finalist, he was named Scientific Person of the Year at the Technical University of Kosice in 2025. He has also acted as principal investigator in several research projects with a total budget exceeding €2 million.</p>
</div>
<div class="grid-item">
<h3>Jakub Gazda</h3>
<p>Jakub Gazda, MD, PhD, is a physician and researcher at Pavol Jozef Safarik University and L. Pasteur University Hospital in Kosice, Slovakia. His work focuses on liver cirrhosis, its complications, and AI-driven diagnostic tools. He completed research stays at Sapienza University of Rome and Hospital Clínic Barcelona and serves as an external consultant for Signant Health.</p>
</div>
<div class="grid-item">
<h3>Matej Gazda</h3>
<p>Matej Gazda, MSc, PhD, is a researcher at the Technical University of Kosice specializing in artificial intelligence for medical imaging, with a focus on advanced image segmentation and diagnostic applications. He completed a one-year research stay at Polytechnique Montréal. Named the Top Student Personality of Slovakia for 2021/2022, he contributes to the development of innovative technologies in medical AI.</p>
</div>
</div>
</section>
<section id="references">
<p class="section-label">Research</p>
<h2>Publications</h2>
<p class="section-desc">Our contributions to advancing medical AI and clinical science.</p>
<div class="grid-container">
<div class="grid-item">
<h3>Prospective evaluation of speech as a digital biomarker for covert hepatic encephalopathy</h3>
<p>J. Gazda, J.C. García-Pagán, S. Drazilova, P. Drotar, M. Hires, M. Gazda, M. Janicko, A. Baiges, P. Jarcuska</p>
<p>npj Digital Medicine (2025)</p>
</div>
<div class="grid-item">
<h3>Convolutional neural network ensemble for Parkinson's disease detection from voice recordings</h3>
<p>M. Hireš, M. Gazda, P. Drotár, N. D. Pah, M. A. Motin, D. K. Kumar</p>
<p>Computers in Biology and Medicine (2022)</p>
</div>
<div class="grid-item">
<h3>Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting</h3>
<p>M. Gazda, J. Gazda, S. Kadoury, R. Kanasz, P. Drotar</p>
<p>Computer Methods and Programs in Biomedicine (2025)</p>
</div>
<div class="grid-item">
<h3>echoGAN: Extending the field of view in Transthoracic Echocardiography through conditional GAN-based outpainting</h3>
<p>J. Gazda, J.C. García-Pagán, S. Drazilova, P. Drotar, M. Hires, M. Gazda, M. Janicko, A. Baiges, P. Jarcuska</p>
<p>Computer Methods and Programs in Biomedicine (2025)</p>
</div>
<div class="grid-item">
<h3>Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features</h3>
<p>K. Demcakova, P. Drotar, M. Hires, J. Gazda, P. Jarcuska</p>
<p>IEEE Symposium on Computer-Based Medical Systems (2025)</p>
</div>
<div class="grid-item">
<h3>Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis</h3>
<p>J. Gazda, P. Drotar, S. Drazilova, J. Gazda, M. Gazda, M. Janicko, P. Jarcuska</p>
<p>Journal of Personalized Medicine (2021)</p>
</div>
<div class="grid-item">
<h3>Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification</h3>
<p>M. Gazda, J. Plavka, J. Gazda, P. Drotar</p>
<p>IEEE Access (2021)</p>
</div>
<div class="grid-item">
<h3>Treatment response to ursodeoxycholic acid in primary biliary cholangitis: A systematic review and meta-analysis</h3>
<p>J. Gazda, S. Drazilova, M. Gazda, M. Janicko, T. Koky, M. Macej, M. Carbone, P. Jarčuška</p>
<p>Digestive and Liver Disease (2023)</p>
</div>
<div class="grid-item">
<h3>Towards annotation-efficient segmentation via image-to-image translation</h3>
<p>E. Vorontsov, P. Molchanov, M. Gazda, C. Beckham, J. Kautz, S. Kadoury</p>
<p>Medical Image Analysis (2022)</p>
</div>
</div>
</section>
<section id="partners">
<p class="section-label">Partners</p>
<h2>Collaborations</h2>
<p class="section-desc">Working with leading institutions to advance medical AI.</p>
<div class="partners-grid">
<div class="partner-card">
<a href="https://www.unlp.sk/" target="_blank">
<img src="assets/imgs/unlp.webp" alt="Louis Pasteur University Hospital Logo">
<h3>Louis Pasteur University Hospital</h3>
<p class="location">Kosice, Slovakia</p>
<p class="desc">One of the leading teaching and research hospitals in Slovakia, providing comprehensive tertiary care and serving as a national referral center in several medical specialties.</p>
</a>
</div>
<div class="partner-card">
<a href="https://www.upjs.sk/en/" target="_blank">
<img src="assets/imgs/upjs.png" alt="Pavol Jozef Šafárik University Logo" style="height: 60px;">
<h3>Pavol Jozef Safarik University</h3>
<p class="location">Kosice, Slovakia</p>
<p class="desc">One of Slovakia's leading universities, known for its strong emphasis on research, innovation, and international collaboration in biomedical and clinical science.</p>
</a>
</div>
<div class="partner-card">
<a href="https://tuke.sk/en" target="_blank">
<img src="assets/imgs/tuke.png" alt="Technical University of Košice Logo">
<h3>Technical University of Kosice</h3>
<p class="location">Kosice, Slovakia</p>
<p class="desc">A prominent Slovak technical university recognized for excellence in engineering, computer science, and applied research in technology-driven healthcare solutions.</p>
</a>
</div>
<div class="partner-card">
<a href="https://uvptechnicom.sk" target="_blank">
<img src="assets/imgs/uvptechnicom.png" alt="UVP TECHNICOM Logo">
<h3>UVP TECHNICOM</h3>
<p class="location">Kosice, Slovakia</p>
<p class="desc">An innovation hub creating an ecosystem for accelerating technology transfer, bridging academic research with business practice. Cortex Vision has been affiliated since 2026.</p>
</a>
</div>
</div>
</section>
</main>
<footer>
<p>© 2026 Cortex Vision. All rights reserved.</p>
</footer>
</div>
</body>
</html>