ایمیل به استاد — پردازش تصویر پزشکی

Subject: Prospective PhD student — label-efficient cardiac MRI segmentation (Fall 2027)

Dear Professor,

Your recent work on self-supervised pretraining for cardiac MRI segmentation addresses the exact bottleneck I hit in my master's research: annotation scarcity, not architecture, is what limits clinical segmentation models.

I recently completed my M.Sc. in biomedical engineering at Amirkabir University of Technology. My thesis developed a contrastive pretraining scheme for echocardiography segmentation that reached a Dice score of 0.89 using only 10 percent of labels — within two points of the fully supervised baseline. The work is under review at a peer-reviewed imaging journal, with a preprint and code publicly available. I was struck by your paper's finding that anatomy-aware augmentations outperform generic ones; my ultrasound results showed the same pattern, and I would be glad to share that comparison.

I am applying for Fall 2027 and would be grateful to know whether you plan to take new PhD students. My CV and preprint are attached; I am happy to talk briefly if useful.

Best regards, Shirin Zare M.Sc. Biomedical Engineering, Amirkabir University of Technology

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Follow-up 1 (after 10 days)

Subject: Re: Prospective PhD student — label-efficient cardiac MRI segmentation (Fall 2027)

Dear Professor,

I wanted to follow up briefly on my email from last week regarding PhD openings in your group for Fall 2027. Since writing, my thesis preprint has been updated with an additional cross-dataset evaluation, which strengthened the label-efficiency result. I remain very interested in your group's direction and would appreciate any indication of whether you are reviewing prospective students this cycle.

Best regards, Shirin Zare

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Follow-up 2 (after 3 weeks)

Subject: Re: Prospective PhD student — label-efficient cardiac MRI segmentation (Fall 2027)

Dear Professor,

I understand this is a busy season, so this is my final note before the application deadline. I will be submitting to your department regardless, as your group remains my strongest research fit. If there is a better time or channel to discuss potential supervision — or a colleague you would suggest I contact instead — I would be grateful for a one-line reply.

Thank you for your time.

Best regards, Shirin Zare