Leticia Rittner

Medical Image Computing Lab (MICLab), @UNICAMP - University of Campinas. Working with #MachineLearning, #DeepLearning, #Neuroimaging. I support #womeninstem.

[Coletividad @coletividad]

Inteligência artificial desenvolvida na @unicampoficial - A pela professora e pesquisadora @leticiarittner - mapeia danos da #COVID19 em pulmões infectados https://t.co/GDh7JPf8jI

[Oded Rechavi @OdedRechavi]

We thank the reviewers and added the experiments that were requested

[HCE RESEARCH @hceresearch]

Congratulations Dr. Andrea Lara to a brilliant PhD defense about Deep Learning in Medical Spatiotemporal imaging @tugraz @tugraz_csbme! Fantastic comments by @leticiarittner - Thank you!

[Leticia Rittner @leticiarittner]

@lab_ai2 I would like to thank the organizers for their amazing work! Great discussion on metrics!

[Leticia Rittner @leticiarittner]

Yeah! What a great way to start the day at #ISBI2023! Thank you @pdpcosta for the partnership.

[AI2Lab @lab_ai2]

Congratulations to Hanna and Rodrigo on organizing a successful Edited-MRS reconstruction challenge during #ISBI2023 The team Deep Spectral Divers led by @leticiarittner won the challenge!

If you missed it, the presentation slides can be seen here: https://t.co/JtRg8OP753

[Leticia Rittner @leticiarittner]

@_bpaniagua_ Indeed! The best part of organizing a conference like this, is the amazing people we get to meet!

[IEEE International Symposium on Biomedical Imaging @IeeeIsbi]

Aren't our #ISBI2023 volunteers the best?? 😎

#medicalimaging #brainimaging #biomedicalimaging #bodyimaging #IEEEISBI #neuroimaging #LatinAmericanScience #biomedical #pathology #teamscience #research #colombia #cartagena #scienceinlatam

[Leticia Rittner @leticiarittner]

ISBI2023 is starting! People are coming in and I feel my heart beating faster! What a great way to start the day! Come join us!!! #ISBI2023 #LatinAmericaScience #biomedicalimaging

[Leticia Rittner @leticiarittner]

ISBI23 is just around the corner, literally! We are getting everything ready for you!

[Vikas Gulani @MRIvikas]

On the 50th anniversary of the publication of the paper describing MRI, a reminder that the original paper was first rejected ;). Students, residents, fellows, postdocs: Please don't be dejected by rejection; it is part of the game

[Fabian Isensee @FabianIsensee1]

nnU-Net has stood the test of time, continues to deliver excellent results and inspires the community as a framework for building new segmentation methods!

It is with great excitement that we announce the release of nnU-Net V2 🎉😍
➡ https://t.co/hNj6vnhmEP

🧵(1/8)

[Leticia Rittner @leticiarittner]

@mertrory Have you tried Peergrade? I’ve used it a while ago, when it was free. Now they have only a free trial.

[Leticia Rittner @leticiarittner]

Come join me at the 2023 IEEE International Symposium on Biomedical Imaging (ISBI)! https://t.co/4MQJSGMmjO

[Javier Pascau @jpascau]

Consider applying to IEEE EMBS-SPS International Summer School Biomedical Imaging in Cartagena (Colombia) 13-17 April, 2023. Lectures by @leticiarittner , @enzoferrante, @AdanGue1 , P. Arbelaez, @_bpaniagua_ , @AlexaLond9705, John Ochoa. @ArrateMunoz https://t.co/PbiaTamcgh

[brasil @CBF_Futebol]

REI PELÉ 👑👑👑

[Leticia Rittner @leticiarittner]

The dataset comes with automatically generated masks for (silver standard) and manual masks generated by experts (gold standard). Data can be downloded from the competition page (https://t.co/DUyFlvVdeH). Details of the code can be found in our github (https://t.co/MLC2bee6Oq).

[Leticia Rittner @leticiarittner]

Are you interested in studying hypothalamic changes through MRI? Or even developing AI-based methods for hypothalamus segmentation? So you should not miss our paper recently published in Neuroimage. https://t.co/IYQBRCt825

#ai #medicalimaging #mri #opensience #benchmark

[Leticia Rittner @leticiarittner]

The paper "A benchmark for hypothalamus segmentation on T1-weighted MR images" makes available not only the CNN model developed, but also all images used, composed by more than 1300 subjects from 4 different public datasets.

[SIPAIM & SIIM @SipaimS]

SIPAIM - SIIM 2021: Pre-conference Courses

Course #2

The Good, The Bad, and The Awesome Scientific Video

Ulisses Candal
Audiovisual producer
Estúdio 42

Guilherme Ogg
Audiovisual producer
Estúdio 42

Date: November 5, 2 pm (GMT-3)
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#sipaim2021 #siim2021 #sipaimsiim2021