Julio Silva-Rodriguez

I am a Postdoctoral Fellow at ETS of Montreal, under the supervision of Professors Jose Dolz and Ismail Ben Ayed. 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.

• Computer Vision: image recognition, image segmentation, 3D segmentation.
• Machine Learning: vision-language pre-training, few-shot learning, weakly supervised segmentation, anomaly segmentation.
• Medical Image Analysis: histology (WSIs), radiology, fundus, CT, MRI.

• [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.

2023	Fall	08MIAR: Reinforcement Learning	VIU
2023	Fall	06MIAR: Unsupervised Learning	VIU
2023	Summer	05MIAR: Supervised Machine Learning	VIU
2023	Summer	08MIAR: Reinforcement Learning	VIU
2022	Fall	Medical Image Analysis	UPV
2022	Fall	Digital Signal Processing	UPV
2022	Winter	Circuits	UPV
2021	Fall	Digital Signal Processing	UPV
2020	Fall	Digital Signal Processing	UPV
2020	Winter	Circuits	UPV
2019	Fall	Digital Signal Processing	UPV