Skip to content
View DEschweiler's full-sized avatar
3 followers · 4 following
  • Lab for AI in Medicine, University Hospital Aachen

Achievements

Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO

Highlights

  • Pro

Block or report DEschweiler

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
DEschweiler/README.md

About me

Hi there 👋 I am an AI research engineer with a decade of deep-learning and machine-learning experience across medical image analysis, generative models, and LLM-based agents.

Selected work

🦴 Radiograph Landmark Matching

→ Training-free landmark-based morphometry for musculoskeletal radiography.
→ Parts of this work received the DGMSR Wissenschaftspreis 2026.
→ https://github.com/TruhnLab/RadiographLandmarkMatching

🤖 Computer-Use Agents

→ Exploration of tool-augmented and agent-based AI systems for complex task execution.
→ https://github.com/TruhnLab/computer-use-agents

🎨 Diffusion Models for Image Synthesis

→ Denoising diffusion probabilistic models for generating realistic 3D microscopy image data.
→ Supports annotation-limited biomedical imaging tasks.
→ https://github.com/stegmaierj/DiffusionModelsForImageSynthesis

Google Scholar: https://scholar.google.de/citations?user=JV57X-wAAAAJ
LinkedIn: https://de.linkedin.com/in/dennis-eschweiler-138106231

Popular repositories Loading

  1. STAMP STAMPPublic

    Forked from KatherLab/STAMP

    Solid Tumor Associative Modeling in Pathology

    Python

  2. STAMP_attention_ui STAMP_attention_uiPublic

    Python

  3. EmbodiedAI_MathToMotion EmbodiedAI_MathToMotionPublic

    Jupyter Notebook

  4. computer-use-agent computer-use-agentPublic

    Python

  5. DEschweiler DEschweilerPublic

    Profile

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
DEschweiler (Dennis Eschweiler) · GitHub
Skip to content
View DEschweiler's full-sized avatar
3
followers
 · 4
following

  • Lab for AI in Medicine, University Hospital Aachen
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Highlights
  • 
Pro


Block or report DEschweiler

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
DEschweiler/README.md
About me
Hi there 👋 I am an AI research engineer with a decade of deep-learning and machine-learning experience
across medical image analysis, generative models, and LLM-based agents.
Selected work
🦴 Radiograph Landmark Matching
→ Training-free landmark-based morphometry for musculoskeletal radiography.

→ Parts of this work received the DGMSR Wissenschaftspreis 2026.

→ https://github.com/TruhnLab/RadiographLandmarkMatching
🤖 Computer-Use Agents
→ Exploration of tool-augmented and agent-based AI systems for complex task execution.

→ https://github.com/TruhnLab/computer-use-agents
🎨 Diffusion Models for Image Synthesis
→ Denoising diffusion probabilistic models for generating realistic 3D microscopy image data.

→ Supports annotation-limited biomedical imaging tasks.

→ https://github.com/stegmaierj/DiffusionModelsForImageSynthesis
Google Scholar: https://scholar.google.de/citations?user=JV57X-wAAAAJ

LinkedIn: https://de.linkedin.com/in/dennis-eschweiler-138106231

Popular repositories
Loading
  1. 
STAMP
STAMPPublic
    
Forked from KatherLab/STAMP
    
Solid Tumor Associative Modeling in Pathology

    Python
  2. 
STAMP_attention_ui
STAMP_attention_uiPublic
    Python
  3. 
EmbodiedAI_MathToMotion
EmbodiedAI_MathToMotionPublic
    Jupyter Notebook
  4. 
computer-use-agent
computer-use-agentPublic
    Python
  5. 
DEschweiler
DEschweilerPublic
    
Profile


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
DEschweiler (Dennis Eschweiler) · GitHub
Skip to content
View DEschweiler's full-sized avatar
3
followers
 · 4
following

  • Lab for AI in Medicine, University Hospital Aachen
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Highlights
  • 
Pro


Block or report DEschweiler

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
DEschweiler/README.md
About me
Hi there 👋 I am an AI research engineer with a decade of deep-learning and machine-learning experience
across medical image analysis, generative models, and LLM-based agents.
Selected work
🦴 Radiograph Landmark Matching
→ Training-free landmark-based morphometry for musculoskeletal radiography.

→ Parts of this work received the DGMSR Wissenschaftspreis 2026.

→ https://github.com/TruhnLab/RadiographLandmarkMatching
🤖 Computer-Use Agents
→ Exploration of tool-augmented and agent-based AI systems for complex task execution.

→ https://github.com/TruhnLab/computer-use-agents
🎨 Diffusion Models for Image Synthesis
→ Denoising diffusion probabilistic models for generating realistic 3D microscopy image data.

→ Supports annotation-limited biomedical imaging tasks.

→ https://github.com/stegmaierj/DiffusionModelsForImageSynthesis
Google Scholar: https://scholar.google.de/citations?user=JV57X-wAAAAJ

LinkedIn: https://de.linkedin.com/in/dennis-eschweiler-138106231

Popular repositories
Loading
  1. 
STAMP
STAMPPublic
    
Forked from KatherLab/STAMP
    
Solid Tumor Associative Modeling in Pathology

    Python
  2. 
STAMP_attention_ui
STAMP_attention_uiPublic
    Python
  3. 
EmbodiedAI_MathToMotion
EmbodiedAI_MathToMotionPublic
    Jupyter Notebook
  4. 
computer-use-agent
computer-use-agentPublic
    Python
  5. 
DEschweiler
DEschweilerPublic
    
Profile


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
DEschweiler (Dennis Eschweiler) · GitHub
Skip to content
View DEschweiler's full-sized avatar
3
followers
 · 4
following

  • Lab for AI in Medicine, University Hospital Aachen
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Highlights
  • 
Pro


Block or report DEschweiler

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
DEschweiler/README.md
About me
Hi there 👋 I am an AI research engineer with a decade of deep-learning and machine-learning experience
across medical image analysis, generative models, and LLM-based agents.
Selected work
🦴 Radiograph Landmark Matching
→ Training-free landmark-based morphometry for musculoskeletal radiography.

→ Parts of this work received the DGMSR Wissenschaftspreis 2026.

→ https://github.com/TruhnLab/RadiographLandmarkMatching
🤖 Computer-Use Agents
→ Exploration of tool-augmented and agent-based AI systems for complex task execution.

→ https://github.com/TruhnLab/computer-use-agents
🎨 Diffusion Models for Image Synthesis
→ Denoising diffusion probabilistic models for generating realistic 3D microscopy image data.

→ Supports annotation-limited biomedical imaging tasks.

→ https://github.com/stegmaierj/DiffusionModelsForImageSynthesis
Google Scholar: https://scholar.google.de/citations?user=JV57X-wAAAAJ

LinkedIn: https://de.linkedin.com/in/dennis-eschweiler-138106231

Popular repositories
Loading
  1. 
STAMP
STAMPPublic
    
Forked from KatherLab/STAMP
    
Solid Tumor Associative Modeling in Pathology

    Python
  2. 
STAMP_attention_ui
STAMP_attention_uiPublic
    Python
  3. 
EmbodiedAI_MathToMotion
EmbodiedAI_MathToMotionPublic
    Jupyter Notebook
  4. 
computer-use-agent
computer-use-agentPublic
    Python
  5. 
DEschweiler
DEschweilerPublic
    
Profile


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
DEschweiler (Dennis Eschweiler) · GitHub
Skip to content
View DEschweiler's full-sized avatar
3
followers
 · 4
following

  • Lab for AI in Medicine, University Hospital Aachen
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Highlights
  • 
Pro


Block or report DEschweiler

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
DEschweiler/README.md
About me
Hi there 👋 I am an AI research engineer with a decade of deep-learning and machine-learning experience
across medical image analysis, generative models, and LLM-based agents.
Selected work
🦴 Radiograph Landmark Matching
→ Training-free landmark-based morphometry for musculoskeletal radiography.

→ Parts of this work received the DGMSR Wissenschaftspreis 2026.

→ https://github.com/TruhnLab/RadiographLandmarkMatching
🤖 Computer-Use Agents
→ Exploration of tool-augmented and agent-based AI systems for complex task execution.

→ https://github.com/TruhnLab/computer-use-agents
🎨 Diffusion Models for Image Synthesis
→ Denoising diffusion probabilistic models for generating realistic 3D microscopy image data.

→ Supports annotation-limited biomedical imaging tasks.

→ https://github.com/stegmaierj/DiffusionModelsForImageSynthesis
Google Scholar: https://scholar.google.de/citations?user=JV57X-wAAAAJ

LinkedIn: https://de.linkedin.com/in/dennis-eschweiler-138106231

Popular repositories
Loading
  1. 
STAMP
STAMPPublic
    
Forked from KatherLab/STAMP
    
Solid Tumor Associative Modeling in Pathology

    Python
  2. 
STAMP_attention_ui
STAMP_attention_uiPublic
    Python
  3. 
EmbodiedAI_MathToMotion
EmbodiedAI_MathToMotionPublic
    Jupyter Notebook
  4. 
computer-use-agent
computer-use-agentPublic
    Python
  5. 
DEschweiler
DEschweilerPublic
    
Profile


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
DEschweiler (Dennis Eschweiler) · GitHub
Skip to content
View DEschweiler's full-sized avatar
3
followers
 · 4
following

  • Lab for AI in Medicine, University Hospital Aachen
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Highlights
  • 
Pro


Block or report DEschweiler

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
DEschweiler/README.md
About me
Hi there 👋 I am an AI research engineer with a decade of deep-learning and machine-learning experience
across medical image analysis, generative models, and LLM-based agents.
Selected work
🦴 Radiograph Landmark Matching
→ Training-free landmark-based morphometry for musculoskeletal radiography.

→ Parts of this work received the DGMSR Wissenschaftspreis 2026.

→ https://github.com/TruhnLab/RadiographLandmarkMatching
🤖 Computer-Use Agents
→ Exploration of tool-augmented and agent-based AI systems for complex task execution.

→ https://github.com/TruhnLab/computer-use-agents
🎨 Diffusion Models for Image Synthesis
→ Denoising diffusion probabilistic models for generating realistic 3D microscopy image data.

→ Supports annotation-limited biomedical imaging tasks.

→ https://github.com/stegmaierj/DiffusionModelsForImageSynthesis
Google Scholar: https://scholar.google.de/citations?user=JV57X-wAAAAJ

LinkedIn: https://de.linkedin.com/in/dennis-eschweiler-138106231

Popular repositories
Loading
  1. 
STAMP
STAMPPublic
    
Forked from KatherLab/STAMP
    
Solid Tumor Associative Modeling in Pathology

    Python
  2. 
STAMP_attention_ui
STAMP_attention_uiPublic
    Python
  3. 
EmbodiedAI_MathToMotion
EmbodiedAI_MathToMotionPublic
    Jupyter Notebook
  4. 
computer-use-agent
computer-use-agentPublic
    Python
  5. 
DEschweiler
DEschweilerPublic
    
Profile


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
DEschweiler (Dennis Eschweiler) · GitHub
Skip to content
View DEschweiler's full-sized avatar
3
followers
 · 4
following

  • Lab for AI in Medicine, University Hospital Aachen
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Highlights
  • 
Pro


Block or report DEschweiler

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
DEschweiler/README.md
About me
Hi there 👋 I am an AI research engineer with a decade of deep-learning and machine-learning experience
across medical image analysis, generative models, and LLM-based agents.
Selected work
🦴 Radiograph Landmark Matching
→ Training-free landmark-based morphometry for musculoskeletal radiography.

→ Parts of this work received the DGMSR Wissenschaftspreis 2026.

→ https://github.com/TruhnLab/RadiographLandmarkMatching
🤖 Computer-Use Agents
→ Exploration of tool-augmented and agent-based AI systems for complex task execution.

→ https://github.com/TruhnLab/computer-use-agents
🎨 Diffusion Models for Image Synthesis
→ Denoising diffusion probabilistic models for generating realistic 3D microscopy image data.

→ Supports annotation-limited biomedical imaging tasks.

→ https://github.com/stegmaierj/DiffusionModelsForImageSynthesis
Google Scholar: https://scholar.google.de/citations?user=JV57X-wAAAAJ

LinkedIn: https://de.linkedin.com/in/dennis-eschweiler-138106231

Popular repositories
Loading
  1. 
STAMP
STAMPPublic
    
Forked from KatherLab/STAMP
    
Solid Tumor Associative Modeling in Pathology

    Python
  2. 
STAMP_attention_ui
STAMP_attention_uiPublic
    Python
  3. 
EmbodiedAI_MathToMotion
EmbodiedAI_MathToMotionPublic
    Jupyter Notebook
  4. 
computer-use-agent
computer-use-agentPublic
    Python
  5. 
DEschweiler
DEschweilerPublic
    
Profile


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
DEschweiler (Dennis Eschweiler) · GitHub
Skip to content
View DEschweiler's full-sized avatar
3
followers
 · 4
following

  • Lab for AI in Medicine, University Hospital Aachen
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLO
Highlights
  • 
Pro


Block or report DEschweiler

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
DEschweiler/README.md
About me
Hi there 👋 I am an AI research engineer with a decade of deep-learning and machine-learning experience
across medical image analysis, generative models, and LLM-based agents.
Selected work
🦴 Radiograph Landmark Matching
→ Training-free landmark-based morphometry for musculoskeletal radiography.

→ Parts of this work received the DGMSR Wissenschaftspreis 2026.

→ https://github.com/TruhnLab/RadiographLandmarkMatching
🤖 Computer-Use Agents
→ Exploration of tool-augmented and agent-based AI systems for complex task execution.

→ https://github.com/TruhnLab/computer-use-agents
🎨 Diffusion Models for Image Synthesis
→ Denoising diffusion probabilistic models for generating realistic 3D microscopy image data.

→ Supports annotation-limited biomedical imaging tasks.

→ https://github.com/stegmaierj/DiffusionModelsForImageSynthesis
Google Scholar: https://scholar.google.de/citations?user=JV57X-wAAAAJ

LinkedIn: https://de.linkedin.com/in/dennis-eschweiler-138106231

Popular repositories
Loading
  1. 
STAMP
STAMPPublic
    
Forked from KatherLab/STAMP
    
Solid Tumor Associative Modeling in Pathology

    Python
  2. 
STAMP_attention_ui
STAMP_attention_uiPublic
    Python
  3. 
EmbodiedAI_MathToMotion
EmbodiedAI_MathToMotionPublic
    Jupyter Notebook
  4. 
computer-use-agent
computer-use-agentPublic
    Python
  5. 
DEschweiler
DEschweilerPublic
    
Profile