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8 changes: 4 additions & 4 deletions _data/publications.yml
Original file line number Diff line number Diff line change
Expand Up @@ -80,7 +80,7 @@
year: 2025
status: "published"
type: "article"
journal: "Transactions on Machine Learning Research"
journal: "Transactions on Machine Learning Research (TMLR 2025)"
issn: "2835-8856"
url: "https://openreview.net/pdf?id=e1aXaIXblQ"
arxiv: "2506.15976"
Expand Down Expand Up @@ -157,7 +157,7 @@
year: 2025
status: "published"
type: "inproceedings"
booktitle: "Proceedings of the IEEE/CVF Conference on Computer Vision, Pattern Recognition (CVPR) 2025"
booktitle: "Proceedings of the IEEE/CVF Conference on Computer Vision, Pattern Recognition (CVPR 2025)"
url: "https://openaccess.thecvf.com/content/CVPR2025/html/Zhang_2DMamba_Efficient_State_Space_Model_for_Image_Representation_with_Applications_CVPR_2025_paper.html"
arxiv: "2412.00678"
github: "https://github.com/AtlasAnalyticsLab/2DMamba"
Expand Down Expand Up @@ -227,7 +227,7 @@
year: 2025
status: "published"
type: "inproceedings"
booktitle: "International Conference on Learning Representations (ICLR) 2025"
booktitle: "International Conference on Learning Representations (ICLR 2025)"
url: "https://openreview.net/pdf?id=puTxuiK2qO"
arxiv: "2405.16397"
github: "https://github.com/AtlasAnalyticsLab/AdaFisher"
Expand All @@ -241,7 +241,7 @@
year: 2024
status: "published"
type: "inproceedings"
booktitle: "Proceedings of the IEEE/CVF Conference on Computer Vision, Pattern Recognition (CVPR) 2024"
booktitle: "Proceedings of the IEEE/CVF Conference on Computer Vision, Pattern Recognition (CVPR 2024)"
url: "https://openaccess.thecvf.com/content/CVPR2024W/CVMI/html/Nasiri-Sarvi_Vim4Path_Self-Supervised_Vision_Mamba_for_Histopathology_Images_CVPRW_2024_paper.html"
arxiv: "2404.13222"
github: "https://github.com/AtlasAnalyticsLab/Vim4Path"
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130 changes: 43 additions & 87 deletions _includes/publication-item.html
Original file line number Diff line number Diff line change
@@ -1,10 +1,7 @@
{%- comment -%}
Publication card partial:
- Displays a thumbnail column (defaults to the lab logo when no list_image is provided).
- Renders venue metadata and resource links pulled from _data/publications.yml.
Publication list entry rendered in a simple two-column layout (image + text).
{%- endcomment -%}
{% assign entry = include.entry | default: empty %}
{% assign include_year = include.include_year | default: false %}
{% assign item_id = entry.id | default: entry.title | slugify %}

{% assign list_image = entry.list_image %}
Expand All @@ -16,97 +13,56 @@
{% assign list_image = 'images/logopic/group_logo_medium.png' %}
{% endif %}

{% assign meta_parts = '' | split: '' %}
{% comment %}
List of possible venue fields in order of preference.
{%- endcomment -%}
{% assign venue = entry.journal | default: entry.booktitle | default: entry.publisher | default: entry.school %}
{% if venue %}
{% assign meta_parts = meta_parts | push: venue %}
{% endif %}
{% if entry.series %}
{% assign meta_parts = meta_parts | push: entry.series %}
{% endif %}
{% assign volume_part = '' %}
{% if entry.volume %}
{% assign volume_part = 'Vol. ' | append: entry.volume %}
{% endif %}
{% if entry.number %}
{% assign number_part = 'No. ' | append: entry.number %}
{% if volume_part %}
{% assign volume_part = volume_part | append: ', ' | append: number_part %}
{% else %}
{% assign volume_part = number_part %}
{% endif %}
{% endif %}
{% if volume_part %}
{% assign meta_parts = meta_parts | push: volume_part %}
{% endif %}
{% if entry.pages %}
{% assign meta_parts = meta_parts | push: 'pp. ' | append: entry.pages %}
{% endif %}
{% if entry.month %}
{% assign meta_parts = meta_parts | push: entry.month %}
{% endif %}
{% if include_year and entry.year %}
{% assign meta_parts = meta_parts | push: entry.year %}
{% endif %}
{% capture meta_string %}{{ meta_parts | join: ' · ' }}{% endcapture %}
{% assign meta_string = meta_string | strip %}
{% assign link_count = 0 %}
{% if entry.url %}{% assign link_count = link_count | plus: 1 %}{% endif %}
{% if entry.arxiv %}{% assign link_count = link_count | plus: 1 %}{% endif %}
{% if entry.github %}{% assign link_count = link_count | plus: 1 %}{% endif %}
{% if entry.doi %}{% assign link_count = link_count | plus: 1 %}{% endif %}
{% if entry.video %}{% assign link_count = link_count | plus: 1 %}{% endif %}
{% if entry.poster %}{% assign link_count = link_count | plus: 1 %}{% endif %}

<li class="publication-item" id="{{ item_id }}">
<div class="publication-card publication-card--with-media">
<div class="publication-card__media">
<div class="publication-item" id="{{ item_id }}">
<div class="publication-entry">
<div class="publication-entry__image">
<img src="{{ list_image | relative_url }}" alt="Illustration for {{ entry.title | escape }}" loading="lazy">
</div>
<div class="publication-card__body">
<div class="publication-title">{{ entry.title }}</div>
<div class="publication-entry__details">
<p class="publication-entry__title"><strong>{{ entry.title }}</strong></p>
{% if entry.authors %}
<div class="publication-authors">{{ entry.authors }}</div>
<p class="publication-entry__authors">{{ entry.authors }}</p>
{% endif %}
{% if meta_string != '' %}
<div class="publication-meta">{{ meta_string }}</div>
{% if venue %}
<p class="publication-entry__venue"><em>{{ venue }}</em></p>
{% endif %}
{% if entry.note %}
<div class="publication-note">{{ entry.note }}</div>
<p class="publication-entry__note">{{ entry.note }}</p>
{% endif %}
{% if link_count > 0 %}
<p class="publication-entry__links">
{% if entry.url %}
<a href="{{ entry.url }}">[LINK]</a>
{% endif %}
{% if entry.arxiv %}
<a href="https://arxiv.org/abs/{{ entry.arxiv }}">[ARXIV]</a>
{% endif %}
{% if entry.github %}
<a href="{{ entry.github }}">[CODE]</a>
{% endif %}
{% if entry.doi %}
<a href="https://doi.org/{{ entry.doi }}">[DOI]</a>
{% endif %}
{% if entry.video %}
<a href="{{ entry.video }}">[VIDEO]</a>
{% endif %}
{% if entry.poster %}
<a href="{{ entry.poster }}">[POSTER]</a>
{% endif %}
</p>
{% endif %}
<div class="publication-links">
{% assign link_count = 0 %}
{%- comment -%}
Publication links in consistent order:
1. Link (project/paper website)
2. arXiv
3. GitHub
4. DOI
5. PDF
6. Video
7. Poster
{%- endcomment -%}
{% if entry.url %}
{% assign link_count = link_count | plus: 1 %}
<a class="pub-link" href="{{ entry.url }}">Link</a>
{% endif %}
{% if entry.arxiv %}
{% assign link_count = link_count | plus: 1 %}
<a class="pub-link" href="https://arxiv.org/abs/{{ entry.arxiv }}">arXiv</a>
{% endif %}
{% if entry.github %}
{% assign link_count = link_count | plus: 1 %}
<a class="pub-link" href="{{ entry.github }}">GitHub</a>
{% endif %}
{% if entry.doi %}
{% assign link_count = link_count | plus: 1 %}
<a class="pub-link" href="https://doi.org/{{ entry.doi }}">DOI</a>
{% endif %}
{% if entry.video %}
{% assign link_count = link_count | plus: 1 %}
<a class="pub-link" href="{{ entry.video }}">Video</a>
{% endif %}
{% if entry.poster %}
{% assign link_count = link_count | plus: 1 %}
<a class="pub-link" href="{{ entry.poster }}">Poster</a>
{% endif %}
{% if link_count == 0 %}
<span class="pub-link placeholder">Links coming soon</span>
{% endif %}
</div>
</div>
</div>
</li>
</div>
14 changes: 7 additions & 7 deletions _pages/funding.md
Original file line number Diff line number Diff line change
Expand Up @@ -46,31 +46,31 @@ We are grateful to the following organizations that generously fund our activiti
<div class="row g-4 align-items-center justify-content-center my-5" markdown="0">

<div class="col-12 col-sm-6 col-md-4 text-center">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Concordia_University.png" class="img-fluid" style="max-width: 100%; width: 100%;">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Concordia_University.png" class="img-fluid funding-logo">
</div>

<div class="col-12 col-sm-6 col-md-4 text-center">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/NSERC_CRSNG.png" class="img-fluid" style="max-width: 100%; width: 100%;">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/NSERC_CRSNG.png" class="img-fluid funding-logo">
</div>

<div class="col-12 col-sm-6 col-md-4 text-center">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/FRQNT.png" class="img-fluid" style="max-width: 100%; width: 100%;">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/FRQNT.png" class="img-fluid funding-logo">
</div>

<div class="col-12 col-sm-6 col-md-4 text-center">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Amazon_Research_Awards.png" class="img-fluid" style="max-width: 100%; width: 100%;">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Amazon_Research_Awards.png" class="img-fluid funding-logo">
</div>

<div class="col-12 col-sm-6 col-md-4 text-center">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/CFI.png" class="img-fluid" style="max-width: 100%; width: 100%;">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/CFI.png" class="img-fluid funding-logo">
</div>

<div class="col-12 col-sm-6 col-md-4 text-center">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/IRICoR.png" class="img-fluid" style="max-width: 100%; width: 100%;">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/IRICoR.png" class="img-fluid funding-logo">
</div>

<div class="col-12 col-sm-6 col-md-4 text-center">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Digital_Research_Alliance.png" class="img-fluid" style="max-width: 100%; width: 100%;">
<img src="{{ site.url }}{{ site.baseurl }}/images/logopic/Digital_Research_Alliance.png" class="img-fluid funding-logo">
</div>

</div>
Expand Down
24 changes: 3 additions & 21 deletions _pages/openings.md
Original file line number Diff line number Diff line change
Expand Up @@ -28,24 +28,6 @@ permalink: /openings

---

We seek high-caliber candidates with strong academic records (high CGPAs), research experience in medical imaging or computer vision, publications in top-tier AI/ML venues (CVPR, NeurIPS, ICLR, ICML, TMLR), and hands-on experience with PyTorch and deep learning implementation.

We are currently recruiting for the following positions:

1. **Fully Funded PhD Position in AI for Computational Pathology and Medicine** - Co-supervised with [**Prof. Christopher Pal**](https://scholar.google.com/citations?hl=en&user=1ScWJOoAAAAJ&view_op=list_works&sortby=pubdate)
- See instructions and details in [PDF]({{ site.url }}{{ site.baseurl }}/assets/openings/PhD_Hiring_Post_2026_Pathology@McGill%20(CPv2-MSHv2).pdf)

2. **Fully Funded PhD Position in Diffusion Generative Modeling and Deep Learning for Medical Imaging (Radiology & Pathology)** - Co-supervised with [**Prof. Hassan Rivaz**](https://scholar.google.com/citations?hl=zh-CN&user=FWDzqVUAAAAJ&view_op=list_works&sortby=pubdate)
- See instructions and details in [PDF]({{ site.url }}{{ site.baseurl }}/assets/openings/Hiring_Post_Diffusion_Generatrive_Modeling_2026_HRv1_MSHv2.pdf)

---

## Funding / Fellowships

Applicants with **external scholarships or fellowships** are encouraged and fully supported:

- **[FRQNT Graduate Scholarships](https://frq.gouv.qc.ca/en/open-competitions/)** (Unrestricted)
- **[NSERC](https://www.nserc-crsng.gc.ca/index_eng.asp)** (Canadian PR or citizen)
- **[Pierre Arbour Foundation](https://www.fondationarbour.com/en/bourses-d-etudes-doctoract-phd-dba/)** (Unrestricted)

We support candidates in preparing fellowship applications.
We seek high-caliber candidates with strong academic records (high CGPAs), research experience in medical imaging or computer vision, publications in top-tier AI/ML venues (CVPR, NeurIPS, ICLR, ICML, TMLR), and hands-on experience with PyTorch and deep learning implementation. We are currently recruiting for the following positions:
1. **Fully Funded PhD Position in AI for Computational Pathology and Medicine** - Co-supervised with [**Prof. Christopher Pal**](https://scholar.google.com/citations?hl=en&user=1ScWJOoAAAAJ&view_op=list_works&sortby=pubdate). See instructions and details in [PDF]({{ site.url }}{{ site.baseurl }}/assets/openings/PhD_Hiring_Post_2026_Pathology@McGill%20(CPv2-MSHv2).pdf)
2. **Fully Funded PhD Position in Diffusion Generative Modeling and Deep Learning for Medical Imaging (Radiology & Pathology)** - Co-supervised with [**Prof. Hassan Rivaz**](https://scholar.google.com/citations?hl=zh-CN&user=FWDzqVUAAAAJ&view_op=list_works&sortby=pubdate). See instructions and details in [PDF]({{ site.url }}{{ site.baseurl }}/assets/openings/Hiring_Post_Diffusion_Generatrive_Modeling_2026_HRv1_MSHv2.pdf)
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