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I do not think that protecting

someone and hiding her is the way

to deal with this. I want her to learn

how to deal with this by herself,

which is what happened with me:

the first time it happens to you, you

do not know how to react, and then

you have a spontaneous reaction.

Even if she’s shy, she has to build

that capability

MICCAI Daily:

Did you ever feel

completion and hostility between

women?

Aïcha:

Yes. It funny because

Academia is a competitive setting by

itself. Everybody is competitive in a

lab and people tend to compare

themselves to others. So women can

be hostile one to another in certain

situations, but it is not an issue of

gender inequality. Women can be

competitive one towards another

just like men are.

MICCAI Daily:

So this is a point

which is symmetric.

Aïcha:

I think everything should be

symmetric! This is my point. We

shouldn’t analyze women and

analyze men, we should be just

equal.

MICCAI Daily:

Please tell me

something about your work.

Aïcha:

OK. This year at MICCAI I am

presenting my work on a topology

aware deep learning model for multi

part object segmentation. For many

years now, lots of research has

focused on energy-based models

and a lot of advances were made on

designing and adding priors to these

models to better describe objects to

segment. However these traditional

techniques generally rely on strong

data terms which are often sensitive

to image appearance.

Recently, there has been a turn in

the field with many successful

applications of deep learning to

various medical

applications.

Despite their success, existing deep

learning models do not specifically

encode higher order priors such as

objects'

topology.

Our work

attempts to combine the best of

both approaches:

traditional

techniques and deep learning

models; and we proposed to

augment the loss in convolutional

networks with topology priors such

as smoothness; containment and

exclusion.

MICCAI Daily:

What are your

dreams?

Aïcha:

I am passionate by the

medical field and I want to use my

skills to help in that sense. I would

like to use what I learn in a more

applied system, where I can really

see doctors using what I am doing.

My dream would be to show to

doctors, one day, a tool that I have

invented or helped creating - and

see them using it, helping people

with that. That would be a real

achievement.

MICCAI Daily:

You’re a dreamer…

Aïcha:

In that sense, yes [

laughs

]

MICCAI Daily:

And a passionate.

Aïcha:

Yes, I think yes [

laughs again

]

CVPR Daily: Thursday

Women in Science

16

MICCAI Daily: Thursday