Mohammadreza Hosseini-Siyanaki
@mohammadrhs1993
Postdoc @UF, Dept. of Interventional & Diagnostic Radiology. IR/DR. #Radiology #IR #DR #MedicalInnovation
ID: 902407630467026944
29-08-2017 05:48:39
40 Tweet
247 Followers
970 Following
Hi #MedTwitter! I’m Fereshteh, an #IMG from Iran and a Postdoc Research Fellow at Penn Radiology. Super excited to be applying for #Radiology 🩻 in #Match2025! Looking forward to connecting with mentors and peers. #RadTwitter #FutureRadRes #RadRes Project IMG ™ Inside The Match
Listen to Dr. Anzai ⬇️⬇️⬇️ and submit your #ASNR25 abstracts! Join us May 17-21, 2025, in Philadelphia to present the best scientific research in #Neuroradiology. Submission deadline November 6: ow.ly/oTiS50Ttxsj Priya Rajagopalan Yoshimi Anzai #Neurorad #RadRes #MedEd
Please review our last paper in Acute Lung Injury : Journal of Thoracic Imaging journals.lww.com/thoracicimagin… Sanjay Mukhopadhyay Society of Thoracic Radiology
Excited to share our Academic Radiology paper! Strong DLSR in dual-energy CT reduces noise & improves SNR/CNR, enhancing pulmonary emboli visibility. Huge thanks to Drs. Forghani, Bruno Hochhegger, Anthony, & the RAIL team UF Health! Read here: sciencedirect.com/science/articl… #Radiology #AI
🔥 Hot off the press from Radiology: Imaging Cancer: Commentary by Dr. Mohammad Mirza-Aghazadeh-Attari related to article by Yu et al entitled: "Deep Learning Radiopathomics Models..." here: pubs.rsna.org/doi/10.1148/ry… Commentary available at: pubs.rsna.org/doi/10.1148/ry… Mohammad Mirza-Aghazadeh-Attari
Find out what Dr. Reza Forghani thinks is the best part of his career! Interviewer Maxwell Opoku, MD Catch the full video at: youtube.com/watch?v=nOyrQx…
Open-Weight Language Models and Retrieval-Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports: Assessment of Approaches and Parameters Radiology: Artificial Intelligence 🔹 The best-performing models achieved up to 98% accuracy in extracting BT-RADS scores from
A little late to the party, but finally joining the #RSNA25 celebration with two accepted abstracts! 🎉 Huge thanks to my amazing collaborators Gavin Wu, Shakiba Houshi, and Mohammadreza Hosseini-Siyanaki for your insights and teamwork that made it all possible. And a special shout-out to
1/10 Can a radiology-trained LLM beat GPT-4o at writing impressions? Results of this 🧵 may surprise you! 👇 #RadInTraining #Tweetorial of a study just published in Radiology Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR Linda Moy pubs.rsna.org/doi/10.1148/ra…