Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩

PhD student @ Arizona State University, Deep Learning and Medical Imaging Researcher.

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

Brainomaly, our new #WACV2024 paper, improves abnormality detection from neurologic images by training on unannotated brain MRIs. It also proposes a pseudo-AUC metric for inference model selection without annotated validation dataset. Preprint: https://t.co/Vrq9pj8Vg5

[Jay Shah, Ph.D. @jaygshah22]

Our literature review on how Machine Learning can help untangle complex relationships of Neuropyschiatric Symptoms & Alzheimer’s disease biomarkers in context of brain aging is out now: https://t.co/3b846hxEwv
@IOSPress_STM @journal_ad
cc: @YonasGeda, @JaninaKrell, @mahfuzbd

[GDumkrieger @DumkriegerG]

If you have migraines please consider enrolling in our study. Open to qualified participants across the US. #Migraine

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

@Yezhou_Yang I am reading “Coach EZ” 😂

[@BrainComms @braincomms]

Rahman Siddiquee et al. report a deep learning-based classification method that automatically discovered imaging biomarkers specifically associated with migraines, acute post-traumatic and persistent post-traumatic headaches. https://t.co/lM17pxrrCe

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

@Yezhou_Yang 😂

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

I want to thank my internship mentor Dr. Andriy Myronenko and teammates Dr. Dong Yang, Dr. Yufan He, and Dr. Daguang Xu. These achievements would not have been possible without them.

4/4

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

As the @MICCAI_Society concludes, the final results from all the challenges I participated in during my summer 2022 internship at @nvidia are out. Alhamdulillah, we have got some exciting results. Our submission (team: #NVAUTO) got:

1/n

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

- 3rd position (validation stage) and best HD5 score (testing stage)
in #PARSE22 (https://t.co/RZKd21Gome)

We have implemented our solutions in #MONAI with #Auto3DSeg.

3/n

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

Tomorrow at @MICCAI_Society @SashimiWorkshop, I will present HealthyGAN (https://t.co/7aHHJO45qk), a novel one-directional image-to-image translation method which leverages unannotated mixed images for anomaly detection. You are invited!

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

@Zongwei_Zhou @IEEE_TMI 👏 Congratulations!

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

Thank you @IEEE_TMI

[VJ Neurology @VJNeurology]

Does AI add value in #Headache research?

@mahfuzbd (@ASU) discusses #Migraine classification using deep learning on structural brain MRI data at #AHSAM22

Find out more: https://t.co/1WD16W1TwK

@ahsheadache #NeuroTwitter #Neurology #Headache

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

@VerizonSupport 5G home internet. I already spent 30min with a customer care representative for getting a $60 refund. Now I am losing money to argue any further. Enough lesson for me :)

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

The report on our solution (2nd place in validation phase) to RSNA(@RSNA)-ASNR(@TheASNR)-MICCAI(@MICCAI_Society) Brain Tumor Segmentation (@BraTS_challenge) Challenge 2021 is available at https://t.co/RqCXkKiF6w

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

@FetaChallenge @PIPPIworkshop @MICCAI_Society @MeriBach @HongweiBran @AndrasJakabMD @_Roxane_L It was tasty! Thank you!

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

5th at Multiple Sclerosis New Lesions Segmentation Challenge (based on Dice score)

I would like to thank my mentor at NVIDIA, Dr. Myronenko, for his guidance, inspiration, and support. These achievements would not have been possible without him.

3/3

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

It was a fantastic summer at #NVIDIA. Aside from my internship, I participated, with my mentor, in four medical image segmentation challenges. Alhamdulillah, our solutions were among the top. We ranked

1/3

[Md Mahfuzur Rahman Siddiquee 🇺🇸🇮🇹🇧🇩 @mahfuzbd]

1st at Fetal Brain Tissue Annotation and Segmentation Challenge (FeTA), MICCAI 2021

2nd at RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021 (Validation Phase, Blog: https://t.co/4CxALv3Iho)

4th at Carotid Artery Vessel Wall Segmentation Challenge

2/3