Maurice Pradella, MD (@MPradella) profile picture

Deputy Section Head Cardiothoracic Radiology @UniSpitalBasel. EBCR & ESTI diploma. Former AHA Postdoc Research Fellow @NURadiology Graduate @LMU_Muenchen

Joined June 2011
Photo by Maurice Pradella, MD (@MPradella)Photo by Maurice Pradella, MD (@MPradella)Photo by Maurice Pradella, MD (@MPradella)
#RSNA22 is in the books, it was such a great meeting with so many wonderful people. I am especially grateful to the @RSNA for being awarded a Trainee Research Prize for our work on atrial flow and silent brain infarctions @NURadiology #4DFlow
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Maurice Pradella, MD retweeted
Low field- so much potential for lung imaging!! Low Field MRI Surveillance 6-24 Months Post-acute COVID-19 Pneumonia: Factors Influencing Severity and Evolution of Lung Opacities - Academic Radiology academicradiology.org/articl…
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Maurice Pradella, MD retweeted
Adult Type ALCAPA: 4D-Flow CMR unveils high coronary flow & steal phenomenon. Imaging is important for diagnosis & surgical guidance. Repair of aberrant LM crucial for dual-coronary system @MPradella #AHAJournals @JiwonKimMD @kaznegishi ahajrnls.org/44kzXt6
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Maurice Pradella, MD retweeted
Curious about the energy demand of interventional imaging?⚡️ Our latest investigation delves into #IR, #cardiology, and #urology, now published in @AJR_Radiology! Learn how to boost #sustainability 🌍 and get the article here:👉 doi.org/10.2214/AJR.24.30988 @UniSpitalBasel @Rads4SF
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Maurice Pradella, MD retweeted
Very honored to receive the Magna cum Laude award for our exhibit on qPerf cardiac MR at #rsna23 and be within the only 17 out of 1654 exhibits receiving it. Proud of being part of this amazing team at @NURadiology! @bdallen6 @DrSandraQuinn – at Chicago, IL
Visit our educational exhibit at #rsna23 to learn about MR quantitative myocardial perfusion and how to use it in clinical practice. Nice cases, pearls and pitfalls at the end! #whycmr @bdallen6 @DrSandraQuinn @NURadiology
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Maurice Pradella, MD retweeted
Honored to present our work on comparison of ADC maps obtained by acquired b1000 and b1600 to detect prostate cancer at #rsna23. Very thankful to be part of @NURadiology and grateful of my outstanding mentors Amir Borhani and Frank Miller. @radiology_rsna @RSNA
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Maurice Pradella, MD retweeted
Visit our educational exhibit at #rsna23 to learn about MR quantitative myocardial perfusion and how to use it in clinical practice. Nice cases, pearls and pitfalls at the end! #whycmr @bdallen6 @DrSandraQuinn @NURadiology – at Chicago, IL
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Maurice Pradella, MD retweeted
Thrilled to see our work on addressing ongoing challenges in #MOGAD diagnosis published in @JAMANeuro. Wonderful team effort by @proebstellab @lakulsvehagen @JensKuhle and others 👇 jamanetwork.com/journals/jam…
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Maurice Pradella, MD retweeted
Endovascular therapy + optimal medical management is cost-effective for patients treated for acute stroke caused by large vessel occlusion and baseline ASPECTS 4-5 when measured using an incremental cost-effectiveness ratio. bit.ly/3LL5qMY
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So happy that @snsf_ch will support my research group @bam_mri for the next four years for a project on dynamic and quantitative imaging of muscle disease! The project will be fueled by #openscience! We will be looking for people to join the group, stay tuned!
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Maurice Pradella, MD retweeted
TotalSegmentator v2 is here: - 33 new classes - up to 32x faster runtime on CPU - improved label quality - larger training dataset (n=1559) - uses nnU-Net v2 Details: github.com/wasserth/TotalSeg…
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Maurice Pradella, MD retweeted
Honored to be the recipient of the Swiss Society for Allergology and Immunology 2023 Swiss Immunology Early Career Award. Grateful to colleagues, mentors, collaborators and especially @proebstellab team for tackling the mysteries of #Bcells in #neuroinflammation together.
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Ensemble of 2D and 3D CNN models predicted myelin maturation age on brain MRIs of infants and young children doi.org/10.1148/ryai.220292 @Tugba_Akinci_MD @JakobWasserthal @UniSpitalBasel #NeuroRad #PedsRad #MachineLearning
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TotalSegmentator: A Gift to the Biomedical Imaging Community doi.org/10.1148/ryai.230235 @ronnie_sebro @MayoFL_RadRes @MonganMD #nnUnet #AI #ML
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A publicly available CT #segmentation model segments most anatomically relevant structures in the whole body @JakobWasserthal @MSegeroth #TotalSegmentator #segmentation #DeepLearning #MachineLearning
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Maurice Pradella, MD retweeted
Our TotalSegmentator paper was accepted at Radiology: Artificial Intelligence paper: pubs.rsna.org/doi/10.1148/ry… open preprint: arxiv.org/abs/2208.05868 code+model: github.com/wasserth/TotalSeg… online tool: totalsegmentator.com/ dataset: doi.org/10.5281/zenodo.68026…
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Maurice Pradella, MD retweeted
Congratulations to Dr. Roberta Catania on her appointment to the Cardiothoracic Imaging Trainee Editorial Board! We are so excited to welcome Dr. Catania to this role, and to see all of the great things she accomplishes. #cardiothoracicimaging #radiology
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Maurice Pradella, MD retweeted
Commentary: Obsolescence of nomograms in #radiomics research. (@Tugba_Akinci_MD & Nathaniel David Mercaldo) #EuropeanRadiology 👇 Want to read the full commentary? Click the link below! buff.ly/45xsuab
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Congratulations to M.D./Ph.D. student Elizabeth Weiss for winning the prestigious Summa Cum Laude Merit Award at #ISMRM23 for her study on the impact of respiratory state resolution on respiratory-driven flow using 5D flow MRI! Don't miss her presentation on Wednesday, June 7th.
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