Optic disc localization using local vessel based features and support vector machine. - Anum Abdul Salam; M. Usman Akram; Sarmad Abbas Khitran; Syed Muhammad Anwar (BIBE, 2015)

Psychological stress measurement using low cost single channel EEG headset. - Sanay Muhammad Umar Saeed; Syed Muhammad Anwar; Muhammad Majid; Adnan Mehmood Bhatti (ISSPIT, 2015)

Autonomous Glaucoma detection from fundus image using cup to disc ratio and hybrid features. - Anum Abdul Salam; M. Usman Akram; Kamran Wazir; Syed Muhammad Anwar; Muhammad Majid (ISSPIT, 2015)

Classification of Expert-Novice Level of Mobile Game Players Using Electroencephalography. - Syed Muhammad Anwar; Sanay Muhammad Umar Saeed; Muhammad Majid (FIT, 2016)

Human emotion recognition and analysis in response to audio music using brain signals. - Adnan Mehmood Bhatti; Muhammad Majid; Syed Muhammad Anwar; Bilal Khan (Comput. Hum. Behav., 2016)

Brain tumor segmentation using cascaded deep convolutional neural network. - Saddam Hussain; Syed Muhammad Anwar; Muhammad Majid (EMBC, 2017)

Wrapper method for feature selection to classify cardiac arrhythmia. - Anam Mustaqeem; Syed Muhammad Anwar; Muhammad Majid; Abdul Rashid Khan (EMBC, 2017)

Medical Image Analysis using Convolutional Neural Networks: A Review. - Adnan Qayyum; Syed Muhammad Anwar; Muhammad Majid; Muhammad Awais 001; Majdi R. Alnowami (CoRR, 2017)

Quantification of Human Stress Using Commercially Available Single Channel EEG Headset. - Sanay Muhammad Umar Saeed; Syed Muhammad Anwar; Muhammad Majid (IEICE Trans. Inf. Syst., 2017)

A statistical analysis based recommender model for heart disease patients. - Anam Mustaqeem; Syed Muhammad Anwar; Abdul Rashid Khan; Muhammad Majid (Int. J. Medical Informatics, 2017)

Medical image retrieval using deep convolutional neural network. - Adnan Qayyum; Syed Muhammad Anwar; Muhammad Awais 001; Muhammad Majid (Neurocomputing, 2017)

Brain tumor segmentation on Multimodal MRI scans using EMAP Algorithm. - Syed Muhammad Anwar; Sobia Yousaf; Muhammad Majid (EMBC, 2018)

Smartphone Based Human Breath Analysis from Respiratory Sounds. - Muhammad Awais Azam; Aeman Shahzadi; Asra Khalid; Syed Muhammad Anwar; Usman Naeem (EMBC, 2018)

Pain Prediction in Humans using Human Brain Activity Data. - Zara Mansoor; Mustansar Ali Ghazanfar; Syed Muhammad Anwar; Ahmed S. Alfakeeh; Khaled Hamed Alyoubi (WWW (Companion Volume), 2018)

A Newly Developed Ground Truth Dataset for Visual Saliency in Videos. - Muhammad Zeeshan; Muhammad Majid; Imran Fareed Nizami; Syed Muhammad Anwar; Ikram Ud Din; Muhammad Khurram Khan (IEEE Access, 2018)

Multi-class Alzheimer's disease classification using image and clinical features. - Tooba Altaf; Syed Muhammad Anwar; Nadia Gul; Muhammad Nadeem Majeed; Muhammad Majid (Biomed. Signal Process. Control., 2018)

Ensemble-classifiers-assisted detection of cerebral microbleeds in brain MRI. - Tayyab Ateeq; Muhammad Nadeem Majeed; Syed Muhammad Anwar; Muazzam Maqsood; Zahoor-Ur Rehman; Jong Weon Lee 002; Khan Muhammad 001; Shuihua Wang; Sung Wook Baik; Irfan Mehmood (Comput. Electr. Eng., 2018)

Arrhythmia Classification of ECG Signals Using Hybrid Features. - Syed Muhammad Anwar; Maheen Gul; Muhammad Majid; Majdi R. Alnowami (Comput. Math. Methods Medicine, 2018)

Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants. - Anam Mustaqeem; Syed Muhammad Anwar; Muhammad Majid (Comput. Math. Methods Medicine, 2018)

Emotion recognition from facial expressions using hybrid feature descriptors. - Tehmina Kalsum; Syed Muhammad Anwar; Muhammad Majid; Bilal Khan; Sahibzada Muhammad Ali (IET Image Process., 2018)

Segmentation of glioma tumors in brain using deep convolutional neural network. - Saddam Hussain; Syed Muhammad Anwar; Muhammad Majid (Neurocomputing, 2018)

Medical Image Analysis using Convolutional Neural Networks: A Review. - Syed Muhammad Anwar; Muhammad Majid; Adnan Qayyum; Muhammad Awais 001; Majdi R. Alnowami; Muhammad Khurram Khan (J. Medical Syst., 2018)

Visual saliency based redundancy allocation in HEVC compatible multiple description video coding. - Muhammad Majid; Muhammad Owais; Syed Muhammad Anwar (Multim. Tools Appl., 2018)

Deep Learning for Musculoskeletal Image Analysis. - Ismail Irmakci; Syed Muhammad Anwar; Drew A. Torigian; Ulas Bagci (ACSSC, 2019)

Classification of Perceived Human Stress using Physiological Signals. - Aamir Arsalan; Muhammad Majid; Syed Muhammad Anwar; Ulas Bagci (EMBC, 2019)

Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. - Aasim Raheel; Muhammad Majid; Syed Muhammad Anwar; Ulas Bagci (EMBC, 2019)

Electroencephalography Based Machine Learning Framework for Anxiety Classification. - Aamir Arsalan; Muhammad Majid; Syed Muhammad Anwar (INTAP, 2019)

A Doctor Recommendation System Using Patient's Satisfaction Analysis. - Haseeb Iftikhar; Syed Muhammad Anwar; Muhammad Majid (INTAP, 2019)

A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology. - Syed Muhammad Anwar; Tooba Altaf; Khola Rafique; Harish RaviPrakash; Hassan Mohy-ud-Din; Ulas Bagci (RNO-AI@MICCAI, 2019)

Chaos Based Enhanced RC5 Algorithm for Security and Integrity of Clinical Images in Remote Health Monitoring. - Romana Shahzadi; Syed Muhammad Anwar; Farhan Qamar; Mudassar Ali; Joel J. P. C. Rodrigues (IEEE Access, 2019)

Secure EEG Signal Transmission for Remote Health Monitoring Using Optical Chaos. - Romana Shahzadi; Syed Muhammad Anwar; Farhan Qamar; Mudassar Ali; Joel J. P. C. Rodrigues; Majdi R. Alnowami (IEEE Access, 2019)

Human stress classification using EEG signals in response to music tracks. - Anum Asif; Muhammad Majid; Syed Muhammad Anwar (Comput. Biol. Medicine, 2019)

A study on the effects of traditional and olfaction enhanced multimedia on pleasantness classification based on brain activity analysis. - Aasim Raheel; Muhammad Majid; Syed Muhammad Anwar (Comput. Biol. Medicine, 2019)

Electroencephalography based Classification of Long-term Stress using Psychological Labeling. - Sanay Muhammad Umar Saeed; Syed Muhammad Anwar; Humaira Khalid; Muhammad Majid; Ulas Bagci (CoRR, 2019)

Generation of personalized video summaries by detecting viewer's emotion using electroencephalography. - Huma Qayyum; Muhammad Majid; Ehatisham ul Haq; Syed Muhammad Anwar (J. Vis. Commun. Image Represent., 2019)

Emotion recognition in response to traditional and tactile enhanced multimedia using electroencephalography. - Aasim Raheel; Syed Muhammad Anwar; Muhammad Majid (Multim. Tools Appl., 2019)

Classification of Perceived Mental Stress Using A Commercially Available EEG Headband. - Aamir Arsalan; Muhammad Majid; Amna Rauf Butt; Syed Muhammad Anwar (IEEE J. Biomed. Health Informatics, 2019)

Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. - Samira Masoudi; Syed Muhammad Anwar; Stephanie A. Harmon; Peter L. Choyke; Baris Turkbey; Ulas Bagci (EMBC, 2020)

Variational Capsule Encoder. - Harish RaviPrakash; Syed Muhammad Anwar; Ulas Bagci (ICPR, 2020)

Brain Tumor Survival Prediction Using Radiomics Features. - Sobia Yousaf; Syed Muhammad Anwar; Harish RaviPrakash; Ulas Bagci (MLCN/RNO-AI@MICCAI, 2020)

State-of-the-Art in Brain Tumor Segmentation and Current Challenges. - Sobia Yousaf; Harish RaviPrakash; Syed Muhammad Anwar; Nosheen Sohail; Ulas Bagci (MLCN/RNO-AI@MICCAI, 2020)

EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding. - Beenish Khalid; Muhammad Majid; Imran Fareed Nizami; Syed Muhammad Anwar; Majdi R. Alnowami (IEEE Access, 2020)

A Vision-Based Path Planning and Object Tracking Framework for 6-DOF Robotic Manipulator. - Adil Shahzad; Xueshan Gao; Awais Yasin; Kamran Javed; Syed Muhammad Anwar (IEEE Access, 2020)

A modular cluster based collaborative recommender system for cardiac patients. - Anam Mustaqeem; Syed Muhammad Anwar; Muhammad Majid (Artif. Intell. Medicine, 2020)

No-reference image quality assessment using bag-of-features with feature selection. - Imran Fareed Nizami; Muhammad Majid; Mobeen Ur Rehman; Syed Muhammad Anwar; Ammara Nasim; Khawar Khurshid (Multim. Tools Appl., 2020)

Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform. - Imran Fareed Nizami; Mobeen Ur Rehman; Muhammad Majid; Syed Muhammad Anwar (Multim. Tools Appl., 2020)

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation. - Amin Ullah; Syed Muhammad Anwar; Muhammad Bilal 003; Raja Majid Mehmood (Remote. Sens., 2020)

Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia. - Aasim Raheel; Muhammad Majid; Majdi R. Alnowami; Syed Muhammad Anwar (Sensors, 2020)

EEG Based Classification of Long-Term Stress Using Psychological Labeling. - Sanay Muhammad Umar Saeed; Syed Muhammad Anwar; Humaira Khalid; Muhammad Majid; Ulas Bagci (Sensors, 2020)

Gender Recognition using EEG during Mobile Game Play. - Bushra Fatima; Aasim Raheel; Aamir Arsalan; Muhammad Majid; Muhammad Ehatisham-ul-Haq; Syed Muhammad Anwar (ICIT, 2021)

Automatic Detection of Exudates for Daignosis of Non-proliferative Diabetic Retinopathy using Region-based Convolutional Neural Networks. - Nasira Bibi; Nudrat Nida; Aun Irtaza; Syed Muhammad Anwar (FIT, 2021)

Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset. - Muhammad Khateeb; Syed Muhammad Anwar; Majdi R. Alnowami (IEEE Access, 2021)

Smart Approach for Glioma Segmentation in Magnetic Resonance Imaging using Modified Convolutional Network Architecture (U-NET). - Nosheen Sohail; Syed Muhammad Anwar; Farhat Majeed; Cesar Sanín; Edward Szczerbicki (Cybern. Syst., 2021)

Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data. - Ali Nawaz; Syed Muhammad Anwar; Rehan Liaqat; Javid Iqbal; Ulas Bagci; Muhammad Majid (CoRR, 2021)

M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images. - Maleeha Khalid Khan; Syed Muhammad Anwar (CoRR, 2021)

Expert-novice classification of mobile game player using smartphone inertial sensors. - Muhammad Ehatisham-ul-Haq; Aamir Arsalan; Aasim Raheel; Syed Muhammad Anwar (Expert Syst. Appl., 2021)

DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media. - Aasim Raheel; Muhammad Majid; Syed Muhammad Anwar (Inf. Fusion, 2021)

An Indoor Air Temperature Prediction Framework for Model Predictive Control in HVAC Systems. - Faizan Hamayat; Muhammad Obaid Ullah; Syed Zubair; Syed Muhammad Anwar (ICAC, 2022)

SB-SSL: Slice-Based Self-supervised Transformers for Knee Abnormality Classification from MRI. - Sara Atito 001; Syed Muhammad Anwar; Muhammad Awais 001; Josef Kittler (MILLanD@MICCAI, 2022)

A Modified U-Net Based Framework for Automated Segmentation of Hippocampus Region in Brain MRI. - Nosheen Sohail; Syed Muhammad Anwar (IEEE Access, 2022)

Mental Stress Detection using Data from Wearable and Non-wearable Sensors: A Review. - Aamir Arsalan; Syed Muhammad Anwar; Muhammad Majid (CoRR, 2022)

A Multimodal Perceived Stress Classification Framework using Wearable Physiological Sensors. - Muhammad Majid; Aamir Arsalan; Syed Muhammad Anwar (CoRR, 2022)

SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays. - Syed Muhammad Anwar; Abhijeet Parida; Sara Atito 001; Muhammad Awais 001; Gustavo Nino; Josef Kittler; Marius George Linguraru (CoRR, 2022)

Development and validation of a deep learning-based algorithm for drowsiness detection in facial photographs. - Syed Sameed Husain; Junaid Mir; Syed Muhammad Anwar; Waqas Rafique; Muhammad Obaid Ullah (Multim. Tools Appl., 2022)

Automatic melanoma detection and segmentation in dermoscopy images using deep RetinaNet and conditional random fields. - Hafeez Ur Rehman; Nudrat Nida; Syed Adnan Shah; Wakeel Ahmad; Muhammad Imran Faizi; Syed Muhammad Anwar (Multim. Tools Appl., 2022)

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. - Syed Muhammad Anwar; Ismail Irmakci; Drew A. Torigian; Sachin Jambawalikar; Georgios Z. Papadakis; Can Akgun; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci (J. Signal Process. Syst., 2022)

Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. - Zhifan Jiang; Abhijeet Parida; Syed Muhammad Anwar; Yucheng Tang; Holger R. Roth; Michael J. Fisher; Roger J. Packer; Robert A. Avery; Marius George Linguraru (EMBC, 2023)

Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface. - Saadat Ullah Khan; Muhammad Majid; Marius George Linguraru; Syed Muhammad Anwar (EMBC, 2023)

Visual Recognition for ZELDA Content Generation via Generative Adversarial Network. - Fouzia Usman; Syed Muhammad Anwar; Usman Rauf (ICAI, 2023)

Motor Imagery Classification Using EEG Spectrograms. - Saadat Ullah Khan; Muhammad Majid; Syed Muhammad Anwar (ISBI, 2023)

Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data. - Xinyang Liu; Erin R. Bonner; Zhifan Jiang; Holger R. Roth; Syed Muhammad Anwar; Roger J. Packer; Miriam Bornhorst; Marius George Linguraru (ISBI, 2023)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging. - Daniel Capellán-Martín; Zhifan Jiang; Abhijeet Parida; Xinyang Liu; Van Lam; Hareem Nisar; Austin Tapp; Sarah Elsharkawi; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (BraTS/CrossMoDA@MICCAI, 2023)

Epileptic Seizure Classification using Multidimensional EEG Spectrograms. - John Mutersbaugh; Van Lam; Marius George Linguraru; Syed Muhammad Anwar (SIPAIM, 2023)

Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface. - Saadat Ullah Khan; Muhammad Majid; Syed Muhammad Anwar (CoRR, 2023)

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT. - Sunder Ali Khowaja; Kapal Dev; Syed Muhammad Anwar; Marius George Linguraru (CoRR, 2023)

Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI. - Abhijeet Parida; Zhifan Jiang; Syed Muhammad Anwar; Nicholas Foreman; Nicholas Stence; Michael J. Fisher; Roger J. Packer; Robert A. Avery; Marius George Linguraru (CoRR, 2023)

Estimating Cervical Range of Motion Using Computer Vision. - Nishad Kulkarni; Sarah Dance; Faisal Al Munajjed; Kevin Cleary; Mathew E. Oetgen; Syed Muhammad Anwar (IEEECONF, 2024)

Human Emotions Analysis and Recognition Using EEG Signals in Response to 360° Videos. - Haseeb ur Rahman Abbasi; Zeeshan Rashid; Muhammad Majid; Syed Muhammad Anwar (EMBC, 2024)

Personality Trait Recognition using ECG Spectrograms and Deep Learning. - Muhammad Mohsin Altaf; Saadat Ullah Khan; Muhammad Majid; Syed Muhammad Anwar (EMBC, 2024)

Child FER: Domain-Agnostic Facial Expression Recognition in Children Using a Secondary Image Diffusion Model. - Eungi Lee; Eung-Joo Lee; Syed Muhammad Anwar; Seok Bong Yoo (ICASSP, 2024)

SS-CXR: Self-Supervised Pretraining Using Chest X-Rays Towards A Domain Specific Foundation Model. - Syed Muhammad Anwar; Abhijeet Parida; Sara Atito 001; Muhammad Awais 001; Gustavo Nino; Josef Kittler; Marius George Linguraru (ICIP, 2024)

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning. - Daniel Capellán-Martín; Abhijeet Parida; Juan J. Gómez-Valverde; Ramon Sánchez-Jacob; Pooneh Roshanitabrizi; Marius George Linguraru; María J. Ledesma-Carbayo; Syed Muhammad Anwar (ISBI, 2024)

Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing. - Zhifan Jiang; Daniel Capellán-Martín; Abhijeet Parida; Xinyang Liu; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2024)

Quantitative Metrics for Benchmarking Medical Image Harmonization. - Abhijeet Parida; Zhifan Jiang; Roger J. Packer; Robert A. Avery; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2024)

MR to CT Synthesis Using 3d Latent Diffusion. - Austin Tapp; Abhijeet Parida; Can Zhao 001; Van Lam; Natasha Leporé; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2024)

D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions. - Hareem Nisar; Syed Muhammad Anwar; Zhifan Jiang; Abhijeet Parida; Ramon Sánchez-Jacob; Vishwesh Nath; Holger R. Roth; Marius George Linguraru (MedAGI@MICCAI, 2024)

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. - Austin Tapp; Can Zhao 001; Holger R. Roth; Jeffrey Tanedo; Syed Muhammad Anwar; Niall J. Bourke; Joseph V. Hajnal; Victoria Nankabirwa; Sean C. L. Deoni; Natasha Leporé; Marius George Linguraru (MICCAI (3), 2024)

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. - Abhijeet Parida; Antònia Alomar; Zhifan Jiang; Pooneh Roshanitabrizi; Austin Tapp; María J. Ledesma-Carbayo; Ziyue Xu 001; Syed Muhammed Anwar; Marius George Linguraru; Holger R. Roth (MLMI@MICCAI (2), 2024)

Lung-CADex: Fully Automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images. - Furqan Shaukat; Syed Muhammad Anwar; Abhijeet Parida; Van Khanh Lam; Marius George Linguraru; Lubdha M. Shah (MLMI@MICCAI (1), 2024)

Tiny Lungs, Big Challenges: Pediatric and Premature Lung Segmentation using Deep Learning. - Hareem Nisar; Abhijeet Parida; Syed Muhammad Anwar; Gustavo Nino; Maria C. Rujana; Marius George Linguraru (SIPAIM, 2024)

An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques. - Medha Pappula; Syed Muhammed Anwar (SIPAIM, 2024)

DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies. - Abhijeet Parida; Daniel Capellán-Martín; Sara Atito 001; Muhammad Awais 001; María J. Ledesma-Carbayo; Marius George Linguraru; Syed Muhammad Anwar (CoRR, 2024)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions. - Hareem Nisar; Syed Muhammad Anwar; Zhifan Jiang; Abhijeet Parida; Vishwesh Nath; Holger R. Roth; Marius George Linguraru (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)

Harvesting Private Medical Images in Federated Learning Systems with Crafted Models. - Shanghao Shi; Md Shahedul Haque; Abhijeet Parida; Marius George Linguraru; Y. Thomas Hou 001; Syed Muhammad Anwar; Wenjing Lou (CoRR, 2024)

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation. - Zhifan Jiang; Daniel Capellán-Martín; Abhijeet Parida; Austin Tapp; Xinyang Liu; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (CoRR, 2024)

Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data. - Abhijeet Parida; Daniel Capellán-Martín; Zhifan Jiang; Austin Tapp; Xinyang Liu; Syed Muhammad Anwar; María J. Ledesma-Carbayo; Marius George Linguraru (CoRR, 2024)

Development of a Modular Real-time Shared-control System for a Smart Wheelchair. - Vaishanth Ramaraj; Atharva Paralikar; Eung-Joo Lee; Syed Muhammad Anwar; Reza Monfaredi (J. Signal Process. Syst., 2024)

BPMN extension evaluation for security requirements engineering framework. - Saima Zareen; Syed Muhammad Anwar (Requir. Eng., 2024)

Geometric Deep Learning for Automated Landmarking of Maxillary Arches on 3D Oral Scans from Newborns with Cleft Lip and Palate. - Artur Agaronyan; HyeRan Choo; Marius George Linguraru; Syed Muhammad Anwar (ISBI, 2025)

KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity. - Zhifan Jiang; Vishwesh Nath; Holger R. Roth; Abhijeet Parida; Nicholas Foreman; Michael J. Fisher; Roger J. Packer; Syed Muhammad Anwar; Robert A. Avery; Marius George Linguraru (ISBI, 2025)

Self-Supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis Towards Improving Autism Detection. - Yicheng Leng; Syed Muhammad Anwar; Islem Rekik; Sen He 002; Eung-Joo Lee (ISBI, 2025)

Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map. - Xinyang Liu; Pengfei Guo; Daniel Capellán-Martín; Zhifan Jiang; Holger R. Roth; Austin Tapp; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2025)

Explainsegnet: Interpretable Segmentation for Alzheimer's Diagnosis. - Juntao Su; Syed Muhammad Anwar; Fang Jin (ISBI, 2025)

SelfFed: Self-supervised federated learning for data heterogeneity and label scarcity in medical images. - Sunder Ali Khowaja; Kapal Dev; Syed Muhammad Anwar; Marius George Linguraru (Expert Syst. Appl., 2025)

An automated framework for pediatric hip surveillance and severity assessment using radiographs. - Van Khanh Lam; Elizabeth Fischer; Kochai Jawad; Sean Tabaie; Kevin Cleary; Syed Muhammad Anwar (Int. J. Comput. Assist. Radiol. Surg., 2025)

Graph-Based Deep Learning on Stereo EEG for Predicting Seizure Freedom in Epilepsy Patients. - Artur Agaronyan; Syeda Abeera Amir; Nunthasiri Wittayanakorn; John Schreiber; Marius George Linguraru; William Gaillard; Chima Oluigbo; Syed Muhammad Anwar (CoRR, 2025)