Amelie Echle

medical student 👩‍⚕️🏥 📚@UniklinikAachen.

Part of a research team developing deep learning methods for digital pathology. 💻🔬👩‍🔬

[Amelie Echle @a_echle]

Very happy to announce the publication of our new paper 💻🥳
Big thank you to @jnkath and all collaborators!

[Jakob Nikolas Kather @jnkath]

Our new paper is out in @AGA_Gastro! 1st paper from my own group, by @a_echle 🥳 Multicenter study of #DeepLearning based detection of dMMR/MSI in #colorectal #cancer
@UniklinikAachen @NCT_HD @RWTH 👉 https://t.co/NQ20EwDt9L thx to all collaborators @_mhoffmeister @tom_luedde &al

[Jakob Nikolas Kather @jnkath]

Our new paper is out @ESMO_Open, by @a_echle @GhaffariNarmin et al. We validate #AI for detection of #MSI in #colorectal #cancer. This is the largest such study to date (>8300 patients) and shows how to integrate this technology in diagnostic workflows https://t.co/7RJJIFTrNw

[Amelie Echle @a_echle]

In this review, we summarize and compare the existing studies on Deep-Learning-based detection of MSI/dMMR in CRC, what has become a widely used benchmark task for academic studies in the field of computational pathology since 2019. @jnkath @GhaffariNarmin

[ImmunoInformatics @immuno_inform]

A new review paper was published 👇
Deep Learning for the detection of microsatellite instability from histology images in colorectal cancer: a systematic literature review @a_echle @jnkath https://t.co/NcsCEjiN4z

[Jakob Nikolas Kather @jnkath]

You can still sign up for our "#AI in #pathology" course for 2022 https://t.co/BMv0W6g6IG. The course will be online with a summer seminar in Paris 🇫🇷🇪🇺 directors: @Caldera60373705 and @GhaffariNarmin.

[Jakob Nikolas Kather @jnkath]

Our new paper is out in @JPathology: "Deep Learning identifies inflamed fat as a risk factor for lymph node metastasis (LNM) in early colorectal cancer (#CRC)". Great collaboration in Europe 🇪🇺 @UniversityLeeds 🇬🇧 @uni_copenhagen🇩🇰 @UniklinikAachen 🇩🇪 (1/2)

[Salim Atakhanov @salim_atakhanov]

No filter needed to capture the beauty of @UniklinikAachen

[Jakob Nikolas Kather @jnkath]

Our new paper is out in @JPathology: "Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology". https://t.co/ByrmSjlnUa with @GhaffariNarmin @a_echle @_mhoffmeister @TitusBrinker @DanielTruhn & others (1/4)

[QuPath @QuPath]

QuPath v0.3.0 is (finally) now online!
https://t.co/6ewdxBvuCQ

#bioimageanalysis #digitalpathology #OpenScience #opensource

[Jakob Nikolas Kather @jnkath]

Very proud of my PhD student @GhaffariNarmin who just had her first abstract accepted for the #COMPAY workshop at the @MICCAI_Society conference 2021 🎉 https://t.co/hi8Kbsyb6j @RWTH

[Jakob Nikolas Kather @jnkath]

Our new paper is out @LancetDigitalH: "Development & validation of #AI to detect EBV&MSI in #gastric #cancer: a retrospective multicentre study" https://t.co/sODfx8qKjZ - great job by rising star first author @hannah_muti & the team 🤩🏥👩‍💻🇪🇺🇰🇷🇯🇵🇬🇧🇨🇭@UniklinikAachen @RWTH @NCT_HD

[Jakob Nikolas Kather @jnkath]

Our new preprint is out: "Benchmarking artificial intelligence methods for end-to-end computational pathology" 🏥💻 - first paper by @GhaffariNarmin 🎉👩‍💻https://t.co/x30E8xuLVP @UniklinikAachen @NCT_HD #pathology #ai #oncology #artificialintelligence (1/4)

[Hannah Sophie Muti, MD @hannah_muti]

Thanks to @pathsoc and @BritishDivIAP (and to the world’s best lab led by @jnkath) I spoke about #DigitalPathology in #Cancer research at the Manchester Pathology 2021 conference today. Grateful for the opportunity and for an inspiring conference! #MP2021

[Titus J. Brinker, MD @TitusBrinker]

@jnkath @UniklinikAachen @RWTH @GhaffariNarmin Congrats! <3

[Jakob Nikolas Kather @jnkath]

Medical image processing running on maximum load... it’s getting hot in the office 🥵 #DeepLearning #AI @UniklinikAachen @RWTH with @lester_saldanha @GhaffariNarmin @a_echle @hannah_muti

[Jakob Nikolas Kather @jnkath]

Our research was covered in the Bavarian Television today [in German only 🥨] @BR_Presse @RWTH @UniklinikAachen 🔬💻 ... at 03:40 @a_echle is running a deep learning experiment on #colorectal #cancer 👍https://t.co/ZB8R6njNvj

[Pete Bankhead @petebankhead]

Calling all @QuPath users, we need your help!
Please complete our survey to help us understand your needs & support our funding applications to continue this work https://t.co/0sTHBqlmJ4

#bioimageanalysis #digitalpathology #PathTwitter #Microscopy

[Uniklinik RWTH AC @UniklinikAachen]

Wir gratulieren 👏: Dr. Jakob Nikolas Kather, Arzt und Wissenschaftler aus unserer Med. Klinik III, wird vom @BMBF_Bund und der @dfg_public für seine innovative #Forschung mit dem 20.000 Euro dotierten Heinz Maier-Leibnitz-Preis ausgezeichnet.
@jnkath

👉https://t.co/tp3J9V9xPu

[Amelie Echle @a_echle]

@goetz_moritz @TheEMPAIA Danke @goetz_moritz!
Sehr gerne können wir uns austauschen, am Besten einfach eine Mail an: [email protected]
Freue mich drauf!

[EMPAIA International e. V. @TheEMPAIA]

#EMPAIAAcademy continues with speaker Amelie Echle (@a_echle) from @UniklinikAachen @RWTH: “Use cases and Examples of #AI Applications in #Pathology” #deeplearning, #pathomics, #mutationdetection, #GANs #syntheticdata

[EMPAIA International e. V. @TheEMPAIA]

This week: #EMPAIAAcademy
Free 4.5h courses for #pathologists and computational scientists | https://t.co/jvHc9Q0Iii

March 3rd: IT/AI for pathologists (basic)
March 5th: Pathology for IT/AI specialists (basic)

Course language: German | #digitalpathology #computationalpathology

[Jakob Nikolas Kather @jnkath]

Our new paper is out in the Jnl of Pathology 🔬💻 "DL detects genetic alterations in cancer histology generated by adversarial networks" https://t.co/ZqU8o1jHlr We show that synthetic histology preserves molecular information. Project led by medical student @JeremiasKrause 🧑‍💻👍