ATP Lab

B4	Hassan Mohy-ud-Din, Inference and Learning from Data: personal notes and exposition.	(in writing)
B3	Hassan Mohy-ud-Din, Measure Theory, Probability Theory, and Statistical Inference.	(in writing)
B2	Seyed Mostafa Kia^L and Hassan Mohy-ud-Din^L, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, Lecture Notes in Computer Science, Vol 12449, 978-3-030-66843-3, Springer, 2021.	[Weblink]
B1	Hassan Mohy-ud-Din^L and Saima Rathore^C, Radiomics and Radiogenomics in Neuro-oncology, Lecture Notes in Computer Science, Vol 11991, ISBN 978-3-030-40123-8, Springer, 2020.	[Weblink]

J20	Shujah ur Rehman^G,R and Hassan Mohy-ud-Din^L, Semi-supervised Medical Image Segmentation using Bootstrapped Uncertainty Estimates, Medical Image Analysis, 2024.	[IF 11] (in writing)
J19	Shujah ur Rehman^G,R, Ahmed Shafqat^U, and Hassan Mohy-ud-Din^L, Do state-of-the-art semi-supervised segmentation methods yield robust clinical measures?, Journal of the American College of Cardiology, 2024.	[IF 24] (in submission)
J18	Shujah ur Rehman^G,R, Ahmed Waheed^G, and Hassan Mohy-ud-Din^L, Semi-supervised Medical Image Segmentation with Strong Denoising Autoencoders, Medical Image Analysis, 2024.	[IF 11] (in writing)
J17	Maria Nadeem^G,R, Asma Shaheen^D, Muhammad Faizyab Ali Chaudhary^R, and Hassan Mohy-ud-Din^L, Towards robust and generalizable radio(gen)omics predictive models for brain tumor characterization, American Journal of Neuroradiology, 2024.	[IF 3] [ArXiv] (under review)
J16	Sana Jabbar^D, Syed Talha Bukhari^G,R, and Hassan Mohy-ud-Din^L, Advancing Cardiac Segmentation Networks for Cross-domain Generalization: A Multi-center, Multi-vendor Study, Frontiers in Cardiovascular Medicine, 2024.	[IF 7] [ArXiv] (minor revision)
J15	Maximilian Zenk, …, Hassan Mohy-ud-Din^C, …, Klaus Maier-Hein^L, and Spyridon Bakas^L, The Federated Tumor Segmentation (FeTS) Challenge: Towards Fair Decentralized Benchmarking of Healthcare AI Algorithms, Nature Communications.	[IF 15] (consortium) (under review)
J14	Carlos Martín-Isla^L, …, Sana Jabbar^D, …, Hassan Mohy-ud-Din^C, …, and Karim Lekadir, Deep learning segmentation of the right ventricle in cardiac MRI: the M&Ms challenge, IEEE Journal of Biomedical and Health Informatics, Vol 27, Issue 7, 2023.	[IF 7] [Weblink] (consortium)
J13	Matthias Eisenmann^L, …, Hassan Mohy-ud-Din^C, …, and Patryk Filipiak, Biomedical image analysis competitions: The state of current participation practice, arXiv preprint arXiv:2212.08568, 2022.	[arXiv] (consortium)
J12	Asma Shaheen^D, Syed Talha Bukhari^G,R, Maria Nadeem^G,R, Stefano Burigat^C, Ulas Bagci^C, and Hassan Mohy-ud-Din^L, Overall Survival Prediction of Glioma Patients with Multiregional Radiomics, Frontiers in Neuroscience, Vol 16, Article 911065, 2022.	[IF 5] [Weblink]
J11	Maria Tammor^D, Irfan Younas^C, and Hassan Mohy-ud-Din^L, Two-stage active contour model for robust left ventricle segmentation in cardiac MRI, Multimedia Tools and Applications, Vol 80, 2021.	[IF 3] [Weblink]
J10	Syed Talha Bukhari^G,R and Hassan Mohy-ud-Din^L, A systematic evaluation of learning rate policies in training CNNs for brain tumor segmentation, Physics in Medicine and Biology, Vol 66, Issue 10, 2021.	[IF 4] [Weblink]
J9	Lijun Lu, Xiaomian Ma, Hassan Mohy-ud-Din^C, Jianhua Ma, Qianjin Feng, Arman Rahmim, and Wufan Chen^L, Enhancement of dynamic myocardial perfusion PET images based on Low-rank plus Sparse Decomposition, Computer Methods and Programs in Biomedicine, Vol 154, 2018.	[IF 5] [Weblink]
J8	Jing Wu, Hui Liu, Taraneh H. Zonouz, Veronica M. Sandoval, Hassan Mohy-ud-Din^C, Rachel Lampert, Albert J. Sinusas, Chi Liu, and Yi-Hwa Liu^L, A novel blind deconvolution method incorporated with anatomical-based filtering for partial volume correction: validations with ¹²³I-mIBG cardiac SPECT/CT, Medical Physics, Vol 44, Issue 12, 2017.	[IF 3] [Weblink]
J7	Hassan Mohy-ud-Din^L, Nabil E. Boutagy, John C. Stendahl, Zhen W. Zhuang, Albert J. Sinusas, and Chi Liu, Quantification of intra-myocardial blood volume with ^99mTc-RBC SPECT-CT imaging – A Preclinical Study, Journal of Nuclear Cardiology, Vol 25, Issue 6, 2018.	[IF 6] [Weblink] [Spotlight] [Cover Story]
J6	Saeed Ashrafinia, Hassan Mohy-ud-Din^C, Nicolas A. Karakatsanis, Abhinav K. Jha, Michael Casey, Dan J. Kadrmas, and Arman Rahmim, Generalized PSF-Modelling for Optimized Quantitation in PET Imaging, Physics in Medicine and Biology, Vol 62, Issue 12, 2017.	[IF 3] [Weblink]
J5	Qingyi Liu, Hassan Mohy-ud-Din^L, Nabil E. Boutagy, Mingyan Jiang, John C. Stendahl, Albert J. Sinusas, and Chi Liu, Fully automatic multi-atlas segmentation of CTA for partial volume correction in cardiac SPECT/CT, Physics in Medicine and Biology, Vol 62, Issue 10, 2017.	[IF 3] [Weblink]
J4	Hassan Mohy-ud-Din^D and Daniel P. Robinson^L, A Solver for Nonconvex Bound-constrained Quadratic Optimization, SIAM Journal on Optimization, Vol 25, Issue 4, 2015.	[IF 4] [Weblink]
J3	Hassan Mohy-ud-Din^C,L, Martin A. Lodge, and Arman Rahmim, Quantitative myocardial perfusion PET parametric imaging at the voxel-level, Physics in Medicine and Biology, Vol. 60, Issue 15, 2015.	[IF 3] [Weblink]
J2	Hassan Mohy-ud-Din^D,L, Nicolas A. Karakatsanis, William Willis, Dean F. Wong, and Arman Rahmim, Intra-frame Motion Compensation in Multi-frame Brain PET Imaging, Frontiers in Biomedical Technologies, Vol 2, Issue 2, 2015.	[Weblink]
J1	Arman Rahmim^L, Jing Tang, and Hassan Mohy-ud-Din^C, Direct 4D parametric imaging in dynamic myocardial perfusion PET, Frontiers in Biomedical Technologies, Vol 1, Issue 1, 2013.	[Weblink]

C25	Syed Talha Bukhari^G,R and Hassan Mohy-ud-Din^L, E₁D₃ U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 challenge, International MICCAI BrainLesion Workshop, MICCAI Conference, 2021.	[Weblink] (online Covid-19)
C24	Sana Jabbar^D, Syed Talha Bukhari^G,R, and Hassan Mohy-ud-Din^L, Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images, 12^th Workshop on Statistical Atlases and Computational Modelling of the Heart, MICCAI Conference, 2021.	[Weblink] (online Covid-19)
C23	Asma Shaheen^D, Stefano Burigat^C, Ulas Bagci^C, and Hassan Mohy-ud-Din^L, Overall survival prediction in gliomas using region-specific radiomic features, Second International RNO-AI Workshop, MICCAI Conference 2020.	[Weblink] (online Covid-19)
C22	Syed M. Anwar, Tooba Altaf, Khola Rafique, Harish R. Prakash, Hassan Mohy-ud-Din^C, and Ulas Bagci, A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology, First International RNO-AI Workshop, MICCAI Conference, Shenzhen, China, 2019.	[Weblink]
C21	Hassan Mohy-ud-Din, Resampling Strategies in Medical Imaging, SIAM conference in Imaging Science, Bologna, Italy, 2018.	Oral Presentation
C20	Hassan Mohy-ud-Din, Resampling Strategies in PET and SPECT Imaging, 16^th Shaukat Khanum Cancer Symposium, Lahore, Pakistan, 2017.	Oral Presentation
C19	Jing Wu, Hui Liu, Hassan Mohy-ud-Din^C, Stephanie L. Thorn, Mitchel R. Stacy, Taraneh H. Zonouz, Chi Liu, Albert J. Sinusas, Rachel J. Lampert, and Yi-Hwa Liu, A blind deconvolution method incorporated with anatomical-based filtering for partial volume correction: validations with ¹²³I-mIBG cardiac SPECT/CT imaging, SNMMI meeting, San Diego, CA, USA, 2016.	[Weblink] Oral Presentation
C18	Saeed Ashrafinia, Esther M. Gonzalez, Hassan Mohy-ud-Din^C, Abhinav K. Jha, Rathan Subramaniam, and Arman Rahmim, Adaptive PSF modeling for enhanced heterogeneity quantification in oncologic PET Imaging, SNMMI meeting, San Diego, CA, USA, 2016.	[Weblink] Oral Presentation
C17	Saeed Ashrafinia, Hassan Mohy-ud-Din^C, Nicolas A. Karakatsanis, Michael A. Casey, Martin A. Lodge, and Arman Rahmim, PSF overestimation improves PET Image SUV Quantification, SNMMI meeting, San Diego, CA, USA, 2016.	[Weblink]
C16	Saeed Ashrafinia, Hassan Mohy-ud-Din^C, Nicolas A. Karakatsanis, and Arman Rahmim, Inexact Image Deblurring for Improved Quantification in PET, Hopkins Imaging Initiative meeting, Baltimore, MD, 2015.	Oral Presentation
C15	Hassan Mohy-ud-Din^D and Daniel P. Robinson, A Solver for Nonconvex Bound-constrained Quadratic Optimization, The International Symposium on Optimization, Pittsburgh, PA, USA, 2015.	Oral Presentation
C14	Hassan Mohy-ud-Din^D,L, Martin A. Lodge, and Arman Rahmim, Quantitative myocardial perfusion PET parametric imaging at the voxel-level, SNMMI meeting, Baltimore, MD, USA, 2015.	[Weblink]
C13	Lijun Lu, Xiaomian Ma, Hassan Mohy-ud-Din^C, Jianhua Ma, Yangqiu Feng, Arman Rahmim, Qianjin Feng, and Wufan Chen, Low-rank plus Sparse decomposition based Dynamic Myocardial Perfusion PET image restoration, SNMMI meeting, Baltimore, MD, USA, 2015.	[Weblink] Top 10 Posters
C12	Saeed Ashrafinia, Hassan Mohy-ud-Din^C, Nicolas A. Karakatsanis, Dan Kadrmas, and Arman Rahmim, Enhanced Quantitative PET Imaging Utilizing Adaptive Partial Resolution Modeling, SNMMI meeting, St. Louis, Missouri, USA, 2014	[Weblink] Oral Presentation
C11	Arman Rahmim, Hassan Mohy-ud-Din^C, and Thomas Schindler, Base-to-Apex Gradient Abnormality Detection Task Performance in Myocardial Perfusion PET Imaging, SNMMI meeting, St. Louis, Missouri, USA, 2014.	[Weblink] Oral Presentation
C10	Hassan Mohy-ud-Din^D,L, Nicolas A. Karakatsanis, Martin A. Lodge, Jing Tang, and Arman Rahmim, Parametric myocardial perfusion PET imaging using Physiological Clustering, SPIE conference on Medical Imaging, San Diego, CA, USA, 2014.	[Weblink] Oral Presentation
C9	Saeed Ashrafinia, Nicolas A. Karakatsanis, Hassan Mohy-ud-Din^C, and Arman Rahmim, Towards continualized task-based resolution modeling in PET imaging, SPIE conference on Medical Imaging, San Diego, CA, USA, 2014.	[Weblink] Oral Presentation
C8	Hassan Mohy-ud-Din^D, Nicolas A. Karakatsanis, Jim S. Goddard, Justin Baba, William Willis, Abdel K. Tahari, Dean F. Wong, and Arman Rahmim, Generalized dynamic PET Inter-Frame and Intra-Frame motion correction: Phantom and Human validation studies, IEEE Nuclear Science Symposium and Medical Imaging Conference, Anaheim, CA, USA, 2012.	[Weblink]
C7	Nicolas A. Karakatsanis, Martin A. Lodge, Hassan Mohy-ud-Din^C, Abdel K. Tahari, Yun Zhou, Richard L. Wahl, and Arman Rahmim, Enhanced whole-body parametric PET imaging using statistical ridge-regression methods and correlation-coefficient filtering, IEEE Nuclear Science Symposium and Medical Imaging Conference, Anaheim, CA, USA, 2012.	[Weblink]
C6	Hassan Mohy-ud-Din^D, Nicolas A. Karakatsanis, Julie C. Price, Yun Zhou, Susan M. Resnick, Christopher J. Endres, Dean F. Wong and Arman Rahmim, Investigation of noise-induced correlations in dual-biomarker parametric imaging from dynamic [¹¹C] PiB PET, International Symposium on Functional Neuroreceptor Mapping of the Living Brain, Baltimore, MD, USA, 2012.	[Weblink]
C5	Christopher J. Endres, Yun Zhou, Hassan Mohy-ud-Din^C, and Arman Rahmim, PET Model: An SPM toolkit for parametric modeling of Dynamic PET data, International Symposium on Functional Neuroreceptor Mapping of the Living Brain, Baltimore, MD, USA, 2012.	[Weblink]
C4	Hassan Mohy-ud-Din^D, Nicolas A. Karakatsanis, Muhammad R. Ay, Christopher J. Endres, Dean F. Wong and Arman Rahmim, Generalized Inter-Frame and Intra-Frame Motion Correction in Dynamic PET Imaging – A Simulation Study, IEEE Nuclear Science Symposium and Medical Imaging Conference, Valencia, Spain, 2011.	[Weblink]
C3	Hassan Mohy-ud-Din^D, Jing Tang, Dean F. Wong, and Arman Rahmim, Comparison of ordered subset implementations for EM, preconditioned steepest ascent and conjugate gradient optimization tasks in PET Image Reconstruction, SNMMI meeting, San Antonio, Texas, USA, 2011.	[Weblink]
C2	Arman Rahmim, Jing Tang, Hassan Mohy-ud-Din^C, Muhammad R. Ary, and Muhammad A. Lodge, Use of optimization transfer for enhanced myocardial perfusion PET direct 4-D parametric imaging, SNMMI meeting, San Antonio, Texas, USA, 2011.	[Weblink] Oral Presentation
C1	Hassan Mohy-ud-Din^R and Abubakr Muhammad, Detecting Narrow Passages in Configuration Spaces via Spectra of Probabilistic Roadmaps, ACM Symposium On Applied Computing, Sierre, Switzerland, 2010.	[Weblink] Oral Presentation

D2	Hassan Mohy-ud-Din^D, Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography, PhD Electrical and Computer Engineering, Johns Hopkins University, MD, USA, 2015.	[Weblink]
D1	Hassan Mohy-ud-Din^D, Minimizing Nonconvex Quadratic Functions Subject to Bound Constraints, MA Applied Mathematics and Statistics, Johns Hopkins University, MD, USA, 2014.	[Weblink]

B4

Hassan Mohy-ud-Din, Inference and Learning from Data: personal notes and exposition.

(in writing)

B3

Hassan Mohy-ud-Din, Measure Theory, Probability Theory, and Statistical Inference.

(in writing)

B2

Seyed Mostafa KiaL and Hassan Mohy-ud-DinL, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, Lecture Notes in Computer Science, Vol 12449, 978-3-030-66843-3, Springer, 2021.

[Weblink]

B1

Hassan Mohy-ud-DinL and Saima RathoreC, Radiomics and Radiogenomics in Neuro-oncology, Lecture Notes in Computer Science, Vol 11991, ISBN 978-3-030-40123-8, Springer, 2020.

[Weblink]

J20

Shujah ur RehmanG,R and Hassan Mohy-ud-DinL, Semi-supervised Medical Image Segmentation using Bootstrapped Uncertainty Estimates, Medical Image Analysis, 2024.

[IF 11]

(in writing)

J19

Shujah ur RehmanG,R, Ahmed ShafqatU, and Hassan Mohy-ud-DinL, Do state-of-the-art semi-supervised segmentation methods yield robust clinical measures?, Journal of the American College of Cardiology, 2024.

[IF 24]

(in submission)

J18

Shujah ur RehmanG,R, Ahmed WaheedG, and Hassan Mohy-ud-DinL, Semi-supervised Medical Image Segmentation with Strong Denoising Autoencoders, Medical Image Analysis, 2024.

[IF 11]

(in writing)

J17

Maria NadeemG,R, Asma ShaheenD, Muhammad Faizyab Ali ChaudharyR, and Hassan Mohy-ud-DinL, Towards robust and generalizable radio(gen)omics predictive models for brain tumor characterization, American Journal of Neuroradiology, 2024.

[IF 3] [ArXiv] (under review)

J16

Sana JabbarD, Syed Talha BukhariG,R, and Hassan Mohy-ud-DinL, Advancing Cardiac Segmentation Networks for Cross-domain Generalization: A Multi-center, Multi-vendor Study, Frontiers in Cardiovascular Medicine, 2024.

[IF 7] [ArXiv] (minor revision)

J15

Maximilian Zenk, …, Hassan Mohy-ud-DinC, …, Klaus Maier-HeinL, and Spyridon BakasL, The Federated Tumor Segmentation (FeTS) Challenge: Towards Fair Decentralized Benchmarking of Healthcare AI Algorithms, Nature Communications.

[IF 15] (consortium)

(under review)

J14

Carlos Martín-IslaL, …, Sana JabbarD, …, Hassan Mohy-ud-DinC, …, and Karim Lekadir, Deep learning segmentation of the right ventricle in cardiac MRI: the M&Ms challenge, IEEE Journal of Biomedical and Health Informatics, Vol 27, Issue 7, 2023.

[IF 7] [Weblink] (consortium)

J13

Matthias EisenmannL, …, Hassan Mohy-ud-DinC, …, and Patryk Filipiak, Biomedical image analysis competitions: The state of current participation practice, arXiv preprint arXiv:2212.08568, 2022.

[arXiv] (consortium)

J12

Asma ShaheenD, Syed Talha BukhariG,R, Maria NadeemG,R, Stefano BurigatC, Ulas BagciC, and Hassan Mohy-ud-DinL, Overall Survival Prediction of Glioma Patients with Multiregional Radiomics, Frontiers in Neuroscience, Vol 16, Article 911065, 2022.

[IF 5] [Weblink]

J11

Maria TammorD, Irfan YounasC, and Hassan Mohy-ud-DinL, Two-stage active contour model for robust left ventricle segmentation in cardiac MRI, Multimedia Tools and Applications, Vol 80, 2021.

[IF 3] [Weblink]

J10

Syed Talha BukhariG,R and Hassan Mohy-ud-DinL, A systematic evaluation of learning rate policies in training CNNs for brain tumor segmentation, Physics in Medicine and Biology, Vol 66, Issue 10, 2021.

[IF 4] [Weblink]

J9

Lijun Lu, Xiaomian Ma, Hassan Mohy-ud-DinC, Jianhua Ma, Qianjin Feng, Arman Rahmim, and Wufan ChenL, Enhancement of dynamic myocardial perfusion PET images based on Low-rank plus Sparse Decomposition, Computer Methods and Programs in Biomedicine, Vol 154, 2018.

[IF 5] [Weblink]

J8

[IF 3] [Weblink]

J7

Hassan Mohy-ud-DinL, Nabil E. Boutagy, John C. Stendahl, Zhen W. Zhuang, Albert J. Sinusas, and Chi Liu, Quantification of intra-myocardial blood volume with 99mTc-RBC SPECT-CT imaging – A Preclinical Study, Journal of Nuclear Cardiology, Vol 25, Issue 6, 2018.

[IF 6] [Weblink]

[Spotlight]

[Cover Story]

J6

Saeed Ashrafinia, Hassan Mohy-ud-DinC, Nicolas A. Karakatsanis, Abhinav K. Jha, Michael Casey, Dan J. Kadrmas, and Arman Rahmim, Generalized PSF-Modelling for Optimized Quantitation in PET Imaging, Physics in Medicine and Biology, Vol 62, Issue 12, 2017.

[IF 3] [Weblink]

J5

Qingyi Liu, Hassan Mohy-ud-DinL, Nabil E. Boutagy, Mingyan Jiang, John C. Stendahl, Albert J. Sinusas, and Chi Liu, Fully automatic multi-atlas segmentation of CTA for partial volume correction in cardiac SPECT/CT, Physics in Medicine and Biology, Vol 62, Issue 10, 2017.

[IF 3] [Weblink]

J4

Hassan Mohy-ud-DinD and Daniel P. RobinsonL, A Solver for Nonconvex Bound-constrained Quadratic Optimization, SIAM Journal on Optimization, Vol 25, Issue 4, 2015.

[IF 4] [Weblink]

J3

Hassan Mohy-ud-DinC,L, Martin A. Lodge, and Arman Rahmim, Quantitative myocardial perfusion PET parametric imaging at the voxel-level, Physics in Medicine and Biology, Vol. 60, Issue 15, 2015.

[IF 3] [Weblink]

J2

Hassan Mohy-ud-DinD,L, Nicolas A. Karakatsanis, William Willis, Dean F. Wong, and Arman Rahmim, Intra-frame Motion Compensation in Multi-frame Brain PET Imaging, Frontiers in Biomedical Technologies, Vol 2, Issue 2, 2015.

[Weblink]

J1

Arman RahmimL, Jing Tang, and Hassan Mohy-ud-DinC, Direct 4D parametric imaging in dynamic myocardial perfusion PET, Frontiers in Biomedical Technologies, Vol 1, Issue 1, 2013.

[Weblink]

C25

Syed Talha BukhariG,R and Hassan Mohy-ud-DinL, E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 challenge, International MICCAI BrainLesion Workshop, MICCAI Conference, 2021.

[Weblink]

Seyed Mostafa Kia^L and Hassan Mohy-ud-Din^L, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, Lecture Notes in Computer Science, Vol 12449, 978-3-030-66843-3, Springer, 2021.

Hassan Mohy-ud-Din^L and Saima Rathore^C, Radiomics and Radiogenomics in Neuro-oncology, Lecture Notes in Computer Science, Vol 11991, ISBN 978-3-030-40123-8, Springer, 2020.

Shujah ur Rehman^G,R and Hassan Mohy-ud-Din^L, Semi-supervised Medical Image Segmentation using Bootstrapped Uncertainty Estimates, Medical Image Analysis, 2024.

Shujah ur Rehman^G,R, Ahmed Shafqat^U, and Hassan Mohy-ud-Din^L, Do state-of-the-art semi-supervised segmentation methods yield robust clinical measures?, Journal of the American College of Cardiology, 2024.

Shujah ur Rehman^G,R, Ahmed Waheed^G, and Hassan Mohy-ud-Din^L, Semi-supervised Medical Image Segmentation with Strong Denoising Autoencoders, Medical Image Analysis, 2024.

Maria Nadeem^G,R, Asma Shaheen^D, Muhammad Faizyab Ali Chaudhary^R, and Hassan Mohy-ud-Din^L, Towards robust and generalizable radio(gen)omics predictive models for brain tumor characterization, American Journal of Neuroradiology, 2024.

Sana Jabbar^D, Syed Talha Bukhari^G,R, and Hassan Mohy-ud-Din^L, Advancing Cardiac Segmentation Networks for Cross-domain Generalization: A Multi-center, Multi-vendor Study, Frontiers in Cardiovascular Medicine, 2024.

Maximilian Zenk, …, Hassan Mohy-ud-Din^C, …, Klaus Maier-Hein^L, and Spyridon Bakas^L, The Federated Tumor Segmentation (FeTS) Challenge: Towards Fair Decentralized Benchmarking of Healthcare AI Algorithms, Nature Communications.

Carlos Martín-Isla^L, …, Sana Jabbar^D, …, Hassan Mohy-ud-Din^C, …, and Karim Lekadir, Deep learning segmentation of the right ventricle in cardiac MRI: the M&Ms challenge, IEEE Journal of Biomedical and Health Informatics, Vol 27, Issue 7, 2023.

Matthias Eisenmann^L, …, Hassan Mohy-ud-Din^C, …, and Patryk Filipiak, Biomedical image analysis competitions: The state of current participation practice, arXiv preprint arXiv:2212.08568, 2022.

Asma Shaheen^D, Syed Talha Bukhari^G,R, Maria Nadeem^G,R, Stefano Burigat^C, Ulas Bagci^C, and Hassan Mohy-ud-Din^L, Overall Survival Prediction of Glioma Patients with Multiregional Radiomics, Frontiers in Neuroscience, Vol 16, Article 911065, 2022.

Maria Tammor^D, Irfan Younas^C, and Hassan Mohy-ud-Din^L, Two-stage active contour model for robust left ventricle segmentation in cardiac MRI, Multimedia Tools and Applications, Vol 80, 2021.

Syed Talha Bukhari^G,R and Hassan Mohy-ud-Din^L, A systematic evaluation of learning rate policies in training CNNs for brain tumor segmentation, Physics in Medicine and Biology, Vol 66, Issue 10, 2021.

Lijun Lu, Xiaomian Ma, Hassan Mohy-ud-Din^C, Jianhua Ma, Qianjin Feng, Arman Rahmim, and Wufan Chen^L, Enhancement of dynamic myocardial perfusion PET images based on Low-rank plus Sparse Decomposition, Computer Methods and Programs in Biomedicine, Vol 154, 2018.

Hassan Mohy-ud-Din^L, Nabil E. Boutagy, John C. Stendahl, Zhen W. Zhuang, Albert J. Sinusas, and Chi Liu, Quantification of intra-myocardial blood volume with ^99mTc-RBC SPECT-CT imaging – A Preclinical Study, Journal of Nuclear Cardiology, Vol 25, Issue 6, 2018.

Saeed Ashrafinia, Hassan Mohy-ud-Din^C, Nicolas A. Karakatsanis, Abhinav K. Jha, Michael Casey, Dan J. Kadrmas, and Arman Rahmim, Generalized PSF-Modelling for Optimized Quantitation in PET Imaging, Physics in Medicine and Biology, Vol 62, Issue 12, 2017.

Qingyi Liu, Hassan Mohy-ud-Din^L, Nabil E. Boutagy, Mingyan Jiang, John C. Stendahl, Albert J. Sinusas, and Chi Liu, Fully automatic multi-atlas segmentation of CTA for partial volume correction in cardiac SPECT/CT, Physics in Medicine and Biology, Vol 62, Issue 10, 2017.

Hassan Mohy-ud-Din^D and Daniel P. Robinson^L, A Solver for Nonconvex Bound-constrained Quadratic Optimization, SIAM Journal on Optimization, Vol 25, Issue 4, 2015.

Hassan Mohy-ud-Din^C,L, Martin A. Lodge, and Arman Rahmim, Quantitative myocardial perfusion PET parametric imaging at the voxel-level, Physics in Medicine and Biology, Vol. 60, Issue 15, 2015.

Hassan Mohy-ud-Din^D,L, Nicolas A. Karakatsanis, William Willis, Dean F. Wong, and Arman Rahmim, Intra-frame Motion Compensation in Multi-frame Brain PET Imaging, Frontiers in Biomedical Technologies, Vol 2, Issue 2, 2015.

Arman Rahmim^L, Jing Tang, and Hassan Mohy-ud-Din^C, Direct 4D parametric imaging in dynamic myocardial perfusion PET, Frontiers in Biomedical Technologies, Vol 1, Issue 1, 2013.

Syed Talha Bukhari^G,R and Hassan Mohy-ud-Din^L, E₁D₃ U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 challenge, International MICCAI BrainLesion Workshop, MICCAI Conference, 2021.

Sana Jabbar^D, Syed Talha Bukhari^G,R, and Hassan Mohy-ud-Din^L, Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images, 12^th Workshop on Statistical Atlases and Computational Modelling of the Heart, MICCAI Conference, 2021.

Asma Shaheen^D, Stefano Burigat^C, Ulas Bagci^C, and Hassan Mohy-ud-Din^L, Overall survival prediction in gliomas using region-specific radiomic features, Second International RNO-AI Workshop, MICCAI Conference 2020.

Syed M. Anwar, Tooba Altaf, Khola Rafique, Harish R. Prakash, Hassan Mohy-ud-Din^C, and Ulas Bagci, A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology, First International RNO-AI Workshop, MICCAI Conference, Shenzhen, China, 2019.

Hassan Mohy-ud-Din, Resampling Strategies in PET and SPECT Imaging, 16^th Shaukat Khanum Cancer Symposium, Lahore, Pakistan, 2017.

Saeed Ashrafinia, Esther M. Gonzalez, Hassan Mohy-ud-Din^C, Abhinav K. Jha, Rathan Subramaniam, and Arman Rahmim, Adaptive PSF modeling for enhanced heterogeneity quantification in oncologic PET Imaging, SNMMI meeting, San Diego, CA, USA, 2016.

Saeed Ashrafinia, Hassan Mohy-ud-Din^C, Nicolas A. Karakatsanis, Michael A. Casey, Martin A. Lodge, and Arman Rahmim, PSF overestimation improves PET Image SUV Quantification, SNMMI meeting, San Diego, CA, USA, 2016.

Saeed Ashrafinia, Hassan Mohy-ud-Din^C, Nicolas A. Karakatsanis, and Arman Rahmim, Inexact Image Deblurring for Improved Quantification in PET, Hopkins Imaging Initiative meeting, Baltimore, MD, 2015.

Hassan Mohy-ud-Din^D and Daniel P. Robinson, A Solver for Nonconvex Bound-constrained Quadratic Optimization, The International Symposium on Optimization, Pittsburgh, PA, USA, 2015.

Hassan Mohy-ud-Din^D,L, Martin A. Lodge, and Arman Rahmim, Quantitative myocardial perfusion PET parametric imaging at the voxel-level, SNMMI meeting, Baltimore, MD, USA, 2015.

Lijun Lu, Xiaomian Ma, Hassan Mohy-ud-Din^C, Jianhua Ma, Yangqiu Feng, Arman Rahmim, Qianjin Feng, and Wufan Chen, Low-rank plus Sparse decomposition based Dynamic Myocardial Perfusion PET image restoration, SNMMI meeting, Baltimore, MD, USA, 2015.

Saeed Ashrafinia, Hassan Mohy-ud-Din^C, Nicolas A. Karakatsanis, Dan Kadrmas, and Arman Rahmim, Enhanced Quantitative PET Imaging Utilizing Adaptive Partial Resolution Modeling, SNMMI meeting, St. Louis, Missouri, USA, 2014

Arman Rahmim, Hassan Mohy-ud-Din^C, and Thomas Schindler, Base-to-Apex Gradient Abnormality Detection Task Performance in Myocardial Perfusion PET Imaging, SNMMI meeting, St. Louis, Missouri, USA, 2014.

Hassan Mohy-ud-Din^D,L, Nicolas A. Karakatsanis, Martin A. Lodge, Jing Tang, and Arman Rahmim, Parametric myocardial perfusion PET imaging using Physiological Clustering, SPIE conference on Medical Imaging, San Diego, CA, USA, 2014.

Saeed Ashrafinia, Nicolas A. Karakatsanis, Hassan Mohy-ud-Din^C, and Arman Rahmim, Towards continualized task-based resolution modeling in PET imaging, SPIE conference on Medical Imaging, San Diego, CA, USA, 2014.