Jens Petersen

Generative Vision at Qualcomm AI Research

[Fabian Isensee @FabianIsensee1]

Excited to share nnInteractive: The nnU-Net moment for 3D Interactive Segmentation! Supports points, scribbles, boxes, & a new lasso prompt for full 3D masks from 2D inputs. Check it out: https://t.co/MyNQyUDd4x
https://t.co/waDcltB9dG
https://t.co/uWoqHI3Ruf

[Shuhan Xiao @shuhan_xiao]

🌵Presenting our paper on predictive imaging biomarker discovery at #WACV2025 this Sunday!

📄 https://t.co/zpEMaxaM7p

Thanks to @lukas_kln, @peterjensen_, @VollmuthP, @pfjaeger and @maierhein for working on this together @mic_dkfz!

[Jens Petersen @peterjensen_]

Join @noor_fathima_ and myself this afternoon at #CVPR2024 to learn more about Clockwork Diffusion :) Highlight poster #345, from 5pm in Arch 4A-E

[Amir Habibian @amir_habibian]

Interested in fast diffusion models? We will be presenting Clockwork at #CVPR2024.

Paper: https://t.co/TcKm9Khv0i
Code: https://t.co/FkQqJa2aUj

[Guillaume Sautière @gsautiere]

The code for clockwork is now open-source!

It allows up to 40% time savings with close to no loss in percept. quality w/o any finetuning required. Add a single line to your pipeline synthesis code and see for yourself!

https://t.co/wlU06M3ieL

[Jens Petersen @peterjensen_]

Come join our team for an internship 🙆‍♂️

[Amir Habibian @amir_habibian]

Multiple PhD internships available in Qualcomm AI Research, Amsterdam
https://t.co/CwAyICl060

Topic:
- Image/video generation and editing
- Efficiency of diffusion models
- Efficient architectures
- Adopting generative models to improve down-stream tasks

DM me for any question!

[Qualcomm Research & Technologies @QCOMResearch]

With a text prompt and a click of a button you can now generate brand new 2D images, 3D images, and even videos. But at what cost? While this technology has great potential, it faces challenges which we will address in this #AI webinar. Sign up here: https://t.co/4euGri8Vcl

[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)

[AK @_akhaliq]

Neural Image Compression with a Diffusion-Based Decoder
abs: https://t.co/6chG23BH6l

[Lena Maier-Hein (now mainly on LinkedIn) @lena_maierhein]

Excited about this #SurgicalDataScience application with potential for relatively fast clinical translation: https://t.co/8c5nJjjveT! All the details on June 7th at @IPCAI_conf. @uniklinik_hd / @DKFZ project by @haydnspass @doctor_felix (PI) @peterjensen_ @beatpetemueller et al

[Jens Petersen @peterjensen_]

@MICCAI_Society @maierhein @FabianIsensee1 @GregorKoe @pfjaeger @d_zimmerer @wick_wolfgang @VollmuthP

[Jens Petersen @peterjensen_]

If you're at #MICCAI2021 this week, check out our poster on "Continuous-Time Deep Glioma Growth Models" (Wed-S2, R071-D). Also interesting if you work with other kinds of stochastic and sparse image time series :) Paper: https://t.co/0YLDeyhl9a Code: https://t.co/y4mxR0WYfn

[KI-Garage @garage_ki]

🙌🏻 Polarizing or already arrived in everyday life?

👋 "Ethics and AI: How to successfully integrate both into businesses" - on July 27th at 4 – 6 pm.

Interactive talk about, #privacy and #bias in algorithms and 1:1 sessions.

📢 So join us now: https://t.co/rx3VMlX4rB

[Jens Petersen @peterjensen_]

It's been a while, but the #heidelbergai YT channel has 3 new videos on graph partitioning (@FredHamprecht ), importance of expert knowledge in MIA (@lena_maierhein ), large language models (@TimoDenk ): https://t.co/iywaRw0vOj . w/ @pfjaeger @GregorKoe @maierhein

[Jorge Cardoso @mjorgecardoso]

After two years of work, the preprint of largest ever medical image segmentation challenge - the Medical Segmentation Decathlon - is out: https://t.co/OvMrVxB1FV. It's incredible how far we've come in making image segmentation a commodity tool. More here https://t.co/K4wB93vKdO

[KI-Garage @garage_ki]

From Science to Startup to Siemens 👩‍🔬🛰️
...How? Join the innovation journey of AI on July 1st, 4 – 6 pm!

An interactively designed panel discussion and personal 1:1 session with the speakers and organizers await you.

📢Register here: https://t.co/OamVNQk741

[Lena Maier-Hein (now mainly on LinkedIn) @lena_maierhein]

Limitations of image processing metrics at a glance: https://t.co/sIS1Rii5gA. Feel free to contribute to the next version of this dynamic article! @IPCAI_conf @MiccaiStudents @WomenInMICCAI @HIDAdigital @helmholtz_ai. Current version compiled by authors from 35 labs:

[Lena Maier-Hein (now mainly on LinkedIn) @lena_maierhein]

Looking forward to the @DataScienceDKFZ and https://t.co/sCS65pTL8v seminar talk by @FredHamprecht tomorrow. Talk will be available at https://t.co/t46jnhQOQb. You can register at https://t.co/1XgcoE8HAI @mic_dkfz @DKFZ_CAMI_lab @peterjensen_ @pfjaeger @doreen_HeNoe

[BVM - German Conference on Medical Image Computing @BVM_conf]

BVM 2021 is happy to announce four virtual tutorials at 07.03.2021

Tutorial 1: Advanced #DeepLearning by @mic_dkfz @peterjensen_, @maierhein et al.

Registration in combination with BVM conference or separately:
https://t.co/LshOB7mkkW

@ReMIC_OTH
@BVM_Community
@DGBMT

[HIDSS4Health @hidss4health]

We're now accepting applications for our school's third year!
13 fully funded PhD positions @KITKarlsruhe @DKFZ @UniHeidelberg for candidates who want to be the next leaders in #AI and #DataScience for healthcare. Application deadline March 1!

[MIC at DKFZ @mic_dkfz]

Exciting opportunity: The newly founded Applied Computer Vision Lab, headed by @FabianIsensee1, is looking for three excellent machine learning engineers with a background in deep learning and computer vision. Apply here until Jan 10th 2021: https://t.co/jdIlEtgfeS. Please share!