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Julio Silva-Rodriguez

Postdoctoral Fellow
ETS Montreal
jusiro95 (at) gmail.com


About Me

Computer vision and deep learning researcher. Currently working on developing foundation models for medical image analysis, and studying novel strategies for few-shot, parameter-efficient adaptation to downstream tasks and domains.

Research Interests

  • Computer Vision: image recognition, image segmentation, 3D segmentation.
  • Deep Learning: foundation models, multi-modal learning, vision-language pre-training, few-shot learning, parameter-efficient fine-tuning.
  • Medical Image Analysis: histology (WSIs), CXRs, Retina (fundus), CT, MRI.

News

  • [Mar. 2024] Our work on few-shot CLIP adaptation is accepted to CVPR 2024.
  • [Aug. 2023] Our paper about few-shot fine-tuning is accepted to MICCAI-MedAGI 2023.
  • [Apr. 2023] I have been awarded with the Postdoctoral Merit Scholarship for Foreign Students (PBEEE) from the Fonds de recherche du Québec (FRQ)!
  • [Jan. 2023] I started working as a Postdoctoral Fellow at ETS Montreal.
  • [Nov. 2022] I defended my PhD Thesis on not-so-supervised learning on medical imaging.
  • [Jun. 2022] Our paper about unsupervised brain lesion segmentation is accepted to MedIA.
  • [Jun. 2021] Our paper about weakly supervised WSI grading is accepted to JBHI.
  • [Jul. 2020] Our article on prostate histology image grading is accepted at the CMPB.
  • [Sep. 2019] I have been awarded with a 4-years PhD research personnel training grant (FPI) from the Spanish Goverment.
  • [Sep. 2019] Started my PhD studies under supervision of Prof. Valery Naranjo.

Selected Publications

  1. CVPR
    A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
    Julio Silva-Rodriguez, Sina Hajimiri, Jose Dolz, Ismail Ben Ayed
    IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2024.
    PDF Code Project Page BibTex

  2. MICCAI-MedAGI
    Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
    Julio Silva-Rodriguez, Jose Dolz, Ismail Ben Ayed
    International Conference on Medical Image Computing and Computer-Assisted Intervention - Workshop on Foundation Models for General Medical AI (MICCAI-MedAGI), 2023.
    PDF Code Project Page BibTex Oral Presentation

  3. ArXiv
    A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
    Julio Silva-Rodriguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed
    ArXiv Preprint, 2023.
    PDF Code Project Page BibTex

  4. MedIA
    Constrained unsupervised anomaly segmentation
    Julio Silva-Rodriguez, Valery Naranjo, Jose Dolz
    Medical Image Analysis (MedIA), 2022.
    PDF Code Project Page

  5. JBHI
    Self-learning for weakly supervised Gleason grading of local patterns
    Julio Silva-Rodriguez, Adrian Colomer, Jose Dolz, Valery Naranjo
    IEE-Journal of Biomedical and Health Informatics (JBHI), 2021.
    PDF Code Project Page

  6. CMPB
    Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection
    Julio Silva-Rodriguez, Adrian Colomer, Maria A. Sales, Rafael Molina, Valery Naranjo
    Computer Methods and Programs in Biomedicine (CMPB), 2020.
    PDF Code Project Page

Services

Conference Reviewer

Journal Reviewer



Last updated: March 2024