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ORCIDSyed Muhammad Anwar
Syed Muhammed Anwar
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2020 – today
- 2024
[j38]Saima Zareen, Syed Muhammad Anwar
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BPMN extension evaluation for security requirements engineering framework. Requir. Eng. 29(2): 261-278 (2024)- [j37]Vaishanth Ramaraj, Atharva Paralikar, Eung-Joo Lee, Syed Muhammad Anwar, Reza Monfaredi:
Development of a Modular Real-time Shared-control System for a Smart Wheelchair. J. Signal Process. Syst. 96(3): 203-214 (2024) - [c33]Eungi Lee, Eung-Joo Lee, Syed Muhammad Anwar, Seok Bong Yoo:
Child FER: Domain-Agnostic Facial Expression Recognition in Children Using a Secondary Image Diffusion Model. ICASSP 2024: 2750-2754 - [c32]Daniel Capellán-Martín, Abhijeet Parida, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, Pooneh Roshanitabrizi, Marius George Linguraru, María J. Ledesma-Carbayo, Syed Muhammad Anwar:
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning. ISBI 2024: 1-5 - [c31]Zhifan Jiang, Daniel Capellán-Martín, Abhijeet Parida, Xinyang Liu, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru:
Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing. ISBI 2024: 1-4 - [c30]Abhijeet Parida, Zhifan Jiang, Roger J. Packer, Robert A. Avery, Syed Muhammad Anwar, Marius George Linguraru:
Quantitative Metrics for Benchmarking Medical Image Harmonization. ISBI 2024: 1-5 - [c29]Austin Tapp, Abhijeet Parida, Can Zhao, Van Lam, Natasha Leporé, Syed Muhammad Anwar, Marius George Linguraru:
MR to CT Synthesis Using 3d Latent Diffusion. ISBI 2024: 1-5 - [i40]Haseeb ur Rahman Abbasi, Zeeshan Rashid, Muhammad Majid, Syed Muhammad Anwar:
Human Emotions Analysis and Recognition Using EEG Signals in Response to 360° Videos. CoRR abs/2402.04142 (2024) - [i39]Muhammad Mohsin Altaf, Saadat Ullah Khan, Muhammad Majid, Syed Muhammad Anwar:
Personality Trait Recognition using ECG Spectrograms and Deep Learning. CoRR abs/2402.04326 (2024) - [i38]Abhijeet Parida, Zhifan Jiang, Roger J. Packer, Robert A. Avery, Syed Muhammad Anwar, Marius George Linguraru:
Quantitative Metrics for Benchmarking Medical Image Harmonization. CoRR abs/2402.04426 (2024) - [i37]Daniel Capellán-Martín, Abhijeet Parida, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, Pooneh Roshanitabrizi, Marius George Linguraru, María J. Ledesma-Carbayo, Syed Muhammad Anwar:
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning. CoRR abs/2402.14741 (2024) - [i36]Abhijeet Parida, Daniel Capellán-Martín, Sara Atito, Muhammad Awais, María J. Ledesma-Carbayo, Marius George Linguraru, Syed Muhammad Anwar:
DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies. CoRR abs/2402.15534 (2024) - [i35]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, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Ariana Familiar, Keyvan Farahani, Anurag Gottipati, Debanjan Haldar, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Johansen, Blaise V. Jones, Neda Khalili, Florian Kofler, Dominic LaBella, Hollie Anne Lai, Koen Van Leemput, Hongwei Bran Li, Nazanin Maleki, Aaron S. McAllister, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Khanak K. Nandolia, Julija Pavaine, Marie Piraud, Tina Poussaint, Sanjay P. Prabhu, Zachary Reitman, Andres Felipe Rodriguez, Jeffrey D. Rudie, Mariana Sanchez-Montano, Ibraheem Salman Shaikh, Lubdha M. Shah, Nakul Sheth, Russel Taki Shinohara, Wenxin Tu, Karthik Viswanathan, Chunhao Wang, Jeffrey B. Ware, Benedikt Wiestler, Walter I. Wiggins, Anna Zapaishchykova, Mariam Aboian, Miriam Bornhorst, Peter de Blank, Michelle Deutsch, Maryam Fouladi, Lindsey Hoffman, Benjamin H. Kann, Margot Lazow, Leonie Mikael, Ali Nabavizadeh, Roger J. Packer, Spyridon Bakas, Adam C. Resnick, Brian Rood, Arastoo Vossough, Marius George Linguraru:
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR abs/2404.15009 (2024) - [i34]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, Fathi Hilal, Scott Floyd, Anastasia Janas, Anahita Fathi Kazerooni, John Kirkpatrick, Collin Kent, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern H. Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Syed Muhammad Anwar, Timothy Bergquist, Sully Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Nastaran Khalili, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Koen Van Leemput, Hongwei Bran Li, Marius George Linguraru, Xinyang Liu, Aria Mahtabfar, Zeke Meier, Ahmed W. Moawad, John Mongan, Marie Piraud, Russell Takeshi Shinohara, Walter F. Wiggins, Aly H. Abayazeed, Rachel Akinola, András Jakab, Michel Bilello, Maria Correia de Verdier, Priscila Crivellaro, Christos Davatzikos, Keyvan Farahani, John B. Freymann, Christopher Hess, Raymond Y. Huang, Philipp Lohmann, Mana Moassefi, Matthew W. Pease, Philipp Vollmuth, Nico Sollmann, David Diffley, Khanak K. Nandolia, Daniel I. Warren, Ali Hussain, Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan G. Stein, Mahsa Taherzadeh, Eduardo Portela de Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie M. T. Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam H. Shawali, Nikolay Yordanov, Joel M. Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann C. Martin, Abdullah Okar:
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR abs/2405.09787 (2024) - [i33]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, Lia Halasz, Yury Velichko, Chunhao Wang, John Kirkpatrick, Scott Floyd, Zachary J. Reitman, Trey Mullikin, Ulas Bagci, Sean Sachdev, Jona A. Hattangadi-Gluth, Tyler M. Seibert, Nikdokht Farid, Connor Puett, Matthew W. Pease, Kevin Shiue, Syed Muhammad Anwar, Shahriar Faghani, Muhammad Ammar Haider, Pranav I. Warman, Jake Albrecht, András Jakab, Mana Moassefi, Verena Chung, Alejandro Aristizabal, Alexandros Karargyris, Hasan Kassem, Sarthak Pati, Micah J. Sheller, Christina Huang, Aaron Coley, Siddharth Ghanta, Alex Schneider, Conrad Sharp, Rachit Saluja, Florian Kofler, Philipp Lohmann, Philipp Vollmuth, Louis Gagnon, Maruf Adewole, Hongwei Bran Li, Anahita Fathi Kazerooni, Nourel Hoda Tahon, Udunna Anazodo, Ahmed W. Moawad, Bjoern H. Menze, Marius George Linguraru, Mariam Aboian, Benedikt Wiestler, Ujjwal Baid, Gian Marco Conte, Andreas M. Rauschecker, Ayman Nada, Aly H. Abayazeed, Raymond Y. Huang, Maria Correia de Verdier, Jeffrey D. Rudie, Spyridon Bakas, Evan Calabrese:
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. CoRR abs/2405.18383 (2024) - [i32]Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Vishwesh Nath, Holger R. Roth, Marius George Linguraru:
D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions. CoRR abs/2407.02604 (2024) - [i31]Furqan Shaukat, Syed Muhammad Anwar, Abhijeet Parida, Van Khanh Lam, Marius George Linguraru, Lubdha M. Shah:
Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images. CoRR abs/2407.02625 (2024) - [i30]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, Wenxin Tu, Khanak K. Nandolia, Andres Felipe Rodriguez, Ibraheem Salman Shaikh, Mariana Sanchez-Montano, Hollie Anne Lai, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Hannah Anderson, Syed Muhammed Anwar, Alejandro Aristizabal, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, James A. Eddy, Ivan Ezhov, Ariana M. Familiar, Keyvan Farahani, Deep Gandhi, Anurag Gottipati, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Elaine, Alexandros Karargyris, Hasan Kassem, Neda Khalili, Florian Kofler, Dominic LaBella, Koen Van Leemput, Hongwei Li, Nazanin Maleki, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Sarthak Pati, Marie Piraud, Tina Poussaint, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Micah J. Sheller, Russell Takeshi Shinohara, Karthik Viswanathan, Chunhao Wang, Benedikt Wiestler, Walter F. Wiggins, Christos Davatzikos, Phillip B. Storm, Miriam Bornhorst, Roger J. Packer, Trent Hummel, Peter de Blank, Lindsey Hoffman, Mariam Aboian, Ali Nabavizadeh, Jeffrey B. Ware, Benjamin H. Kann, Brian Rood, Adam C. Resnick, Spyridon Bakas, Arastoo Vossough, Marius George Linguraru:
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. CoRR abs/2407.08855 (2024) - [i29]Shanghao Shi, Md Shahedul Haque, Abhijeet Parida, Marius George Linguraru, Y. Thomas Hou, Syed Muhammad Anwar, Wenjing Lou:
Harvesting Private Medical Images in Federated Learning Systems with Crafted Models. CoRR abs/2407.09972 (2024) - [i28]Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth:
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. CoRR abs/2407.13632 (2024) - 2023
- [c28]Zhifan Jiang, Abhijeet Parida, Syed Muhammad Anwar, Yucheng Tang, Holger R. Roth, Michael J. Fisher, Roger J. Packer, Robert A. Avery, Marius George Linguraru:
Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. EMBC 2023: 1-5 - [c27]Saadat Ullah Khan, Muhammad Majid, Marius George Linguraru, Syed Muhammad Anwar:
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface. EMBC 2023: 1-4 - [c26]Saadat Ullah Khan, Muhammad Majid, Syed Muhammad Anwar:
Motor Imagery Classification Using EEG Spectrograms. ISBI 2023: 1-5 - [c25]Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Syed Muhammad Anwar, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru:
Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data. ISBI 2023: 1-4 - [c24]John Mutersbaugh, Van Lam, Marius George Linguraur, Syed Muhammad Anwar:
Epileptic Seizure Classification using Multidimensional EEG Spectrograms. SIPAIM 2023: 1-4 - [i27]Saadat Ullah Khan, Muhammad Majid, Syed Muhammad Anwar:
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface. CoRR abs/2304.06036 (2023) - [i26]Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Devon Godfrey, Fathi Hilal, Ariana Familiar, Keyvan Farahani, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Anahita Fathi Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Koen Van Leemput, Hongwei Bran Li, Xinyang Liu, Aria Mahtabfar, Shan McBurney-Lin, Ryan McLean, Zeke Meier, Ahmed W. Moawad, John Mongan, Pierre Nedelec, Maxence Pajot, Marie Piraud, Arif Rashid, Zachary Reitman, Russell Takeshi Shinohara, Yury Velichko, Chunhao Wang, Pranav I. Warman, Walter I. Wiggins, Mariam Aboian, Jake Albrecht, Udunna Anazodo, Spyridon Bakas, Adam E. Flanders, Anastasia Janas, Goldey Khanna, Marius George Linguraru, Bjoern H. Menze, Ayman Nada, Andreas M. Rauschecker, Jeffrey D. Rudie, Nourel Hoda Tahon, Javier E. Villanueva-Meyer, Benedikt Wiestler, Evan Calabrese:
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. CoRR abs/2305.07642 (2023) - [i25]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, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR abs/2305.08992 (2023) - [i24]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, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR abs/2305.09011 (2023) - [i23]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, Timothy Bergquist, Evan Calabrese, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Ariana Familiar, Keyvan Farahani, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Johanson, Florian Kofler, Dominic LaBella, Koen Van Leemput, Hongwei Bran Li, Nazanin Maleki, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Marie Piraud, Tina Poussaint, Zachary Reitman, Jeffrey D. Rudie, Ibraheem Salman Shaikh, Russell Taki Shinohara, Wenxin Tu, Karthik Viswanathan, Chunhao Wang, Jeffrey B. Ware, Benedikt Wiestler, Walter I. Wiggins, Anna Zapaishchykova, Mariam Aboian, Miriam Bornhorst, Peter de Blank, Michelle Deutsch, Maryam Fouladi, Lindsey Hoffman, Benjamin H. Kann, Margot Lazow, Leonie Mikael, Ali Nabavizadeh, Roger J. Packer, Adam C. Resnick, Brian Rood, Arastoo Vossough, Spyridon Bakas, Marius George Linguraru:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR abs/2305.17033 (2023) - [i22]Sunder Ali Khowaja, Kapal Dev, Syed Muhammad Anwar, Marius George Linguraru:
SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT. CoRR abs/2307.01514 (2023) - [i21]Abhijeet Parida, Zhifan Jiang, Syed Muhammad Anwar, Nicholas Foreman, Nicholas Stence, Michael J. Fisher, Roger J. Packer, Robert A. Avery, Marius George Linguraru:
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI. CoRR abs/2308.11047 (2023) - 2022
- [j36]Nosheen Sohail, Syed Muhammad Anwar:
A Modified U-Net Based Framework for Automated Segmentation of Hippocampus Region in Brain MRI. IEEE Access 10: 31201-31209 (2022) - [j35]Syed Sameed Husain, Junaid Mir, Syed Muhammad Anwar, Waqas Rafique, Muhammad Obaid Ullah:
Development and validation of a deep learning-based algorithm for drowsiness detection in facial photographs. Multim. Tools Appl. 81(15): 20425-20441 (2022) - [j34]Hafeez Ur Rehman, Nudrat Nida, Syed Adnan Shah, Wakeel Ahmad, Muhammad Imran Faizi, Syed Muhammad Anwar:
Automatic melanoma detection and segmentation in dermoscopy images using deep RetinaNet and conditional random fields. Multim. Tools Appl. 81(18): 25765-25785 (2022) - [j33]Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci:
Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. J. Signal Process. Syst. 94(5): 497-510 (2022) - [c23]Faizan Hamayat, Muhammad Obaid Ullah, Syed Zubair, Syed Muhammad Anwar:
An Indoor Air Temperature Prediction Framework for Model Predictive Control in HVAC Systems. ICAC 2022: 1-6 - [c22]Sara Atito, Syed Muhammad Anwar, Muhammad Awais, Josef Kittler:
SB-SSL: Slice-Based Self-supervised Transformers for Knee Abnormality Classification from MRI. MILLanD@MICCAI 2022: 86-95 - [i20]Aamir Arsalan, Syed Muhammad Anwar, Muhammad Majid:
Mental Stress Detection using Data from Wearable and Non-wearable Sensors: A Review. CoRR abs/2202.03033 (2022) - [i19]Muhammad Majid, Aamir Arsalan, Syed Muhammad Anwar:
A Multimodal Perceived Stress Classification Framework using Wearable Physiological Sensors. CoRR abs/2206.10846 (2022) - [i18]Sara Atito, Syed Muhammad Anwar, Muhammad Awais, Josef Kitler:
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI. CoRR abs/2208.13923 (2022) - [i17]Saadat Ullah Khan, Muhammad Majid, Syed Muhammad Anwar:
Motor imagery classification using EEG spectrograms. CoRR abs/2211.08350 (2022) - [i16]Syed Muhammad Anwar, Abhijeet Parida, Sara Atito, Muhammad Awais, Gustavo Nino, Josef Kitler, Marius George Linguraru:
SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays. CoRR abs/2211.12944 (2022) - [i15]Vaishanth Ramaraj, Atharva Paralikar, Eung-Joo Lee, Syed Muhammad Anwar, Reza Monfaredi:
Development of a Modular Real-time Shared-control System for a Smart Wheelchair. CoRR abs/2211.14711 (2022) - 2021
- [j32]Muhammad Khateeb, Syed Muhammad Anwar, Majdi R. Alnowami:
Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset. IEEE Access 9: 12134-12142 (2021) - [j31]Nosheen Sohail, Syed Muhammad Anwar, Farhat Majeed, Cesar Sanín, Edward Szczerbicki:
Smart Approach for Glioma Segmentation in Magnetic Resonance Imaging using Modified Convolutional Network Architecture (U-NET). Cybern. Syst. 52(5): 445-460 (2021) - [j30]Muhammad Ehatisham-ul-Haq, Aamir Arsalan, Aasim Raheel, Syed Muhammad Anwar:
Expert-novice classification of mobile game player using smartphone inertial sensors. Expert Syst. Appl. 174: 114700 (2021) - [j29]Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar:
DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media. Inf. Fusion 65: 37-49 (2021) - [c21]Bushra Fatima, Aasim Raheel, Aamir Arsalan, Muhammad Majid, Muhammad Ehatisham-ul-Haq, Syed Muhammad Anwar:
Gender Recognition using EEG during Mobile Game Play. ICIT 2021: 634-639 - [c20]Nasira Bibi, Nudrat Nida, Aun Irtaza, Syed Muhammad Anwar:
Automatic Detection of Exudates for Daignosis of Non-proliferative Diabetic Retinopathy using Region-based Convolutional Neural Networks. FIT 2021: 218-223 - [i14]Ali Nawaz, Syed Muhammad Anwar, Rehan Liaqat, Javid Iqbal, Ulas Bagci, Muhammad Majid:
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data. CoRR abs/2101.02876 (2021) - [i13]Maleeha Khalid Khan, Syed Muhammad Anwar:
M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images. CoRR abs/2104.03549 (2021) - 2020
- [j28]Beenish Khalid, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Majdi R. Alnowami:
EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding. IEEE Access 8: 102502-102511 (2020) - [j27]Adil Shahzad, Xueshan Gao, Awais Yasin, Kamran Javed, Syed Muhammad Anwar:
A Vision-Based Path Planning and Object Tracking Framework for 6-DOF Robotic Manipulator. IEEE Access 8: 203158-203167 (2020) - [j26]Anam Mustaqeem, Syed Muhammad Anwar, Muhammad Majid:
A modular cluster based collaborative recommender system for cardiac patients. Artif. Intell. Medicine 102: 101761 (2020) - [j25]Imran Fareed Nizami, Muhammad Majid, Mobeen Ur Rehman, Syed Muhammad Anwar, Ammara Nasim, Khawar Khurshid:
No-reference image quality assessment using bag-of-features with feature selection. Multim. Tools Appl. 79(11-12): 7811-7836 (2020) - [j24]Imran Fareed Nizami, Mobeen Ur Rehman, Muhammad Majid, Syed Muhammad Anwar:
Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform. Multim. Tools Appl. 79(35-36): 26285-26304 (2020) - [j23]Amin Ullah, Syed Muhammad Anwar, Muhammad Bilal, Raja Majid Mehmood:
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation. Remote. Sens. 12(10): 1685 (2020) - [j22]Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, Ulas Bagci:
EEG Based Classification of Long-Term Stress Using Psychological Labeling. Sensors 20(7): 1886 (2020) - [j21]Aasim Raheel, Muhammad Majid, Majdi R. Alnowami, Syed Muhammad Anwar:
Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia. Sensors 20(14): 4037 (2020) - [c19]Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. EMBC 2020: 1624-1628 - [c18]Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci:
Variational Capsule Encoder. ICPR 2020: 5820-5827 - [c17]Sobia Yousaf, Harish RaviPrakash, Syed Muhammad Anwar, Nosheen Sohail, Ulas Bagci:
State-of-the-Art in Brain Tumor Segmentation and Current Challenges. MLCN/RNO-AI@MICCAI 2020: 189-198 - [c16]Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci:
Brain Tumor Survival Prediction Using Radiomics Features. MLCN/RNO-AI@MICCAI 2020: 284-293 - [i12]Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci:
Deep Learning for Musculoskeletal Image Analysis. CoRR abs/2003.00541 (2020) - [i11]Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. CoRR abs/2005.05761 (2020) - [i10]Amin Ullah, Syed Muhammad Anwar, Muhammad Bilal, Raja Majid Mehmood:
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation. CoRR abs/2005.06902 (2020) - [i9]Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci:
Brain Tumor Survival Prediction using Radiomics Features. CoRR abs/2009.02903 (2020) - [i8]Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci:
Variational Capsule Encoder. CoRR abs/2010.09102 (2020)
2010 – 2019
- 2019
- [j20]Romana Shahzadi, Syed Muhammad Anwar, Farhan Qamar, Mudassar Ali, Joel J. P. C. Rodrigues:
Chaos Based Enhanced RC5 Algorithm for Security and Integrity of Clinical Images in Remote Health Monitoring. IEEE Access 7: 52858-52870 (2019) - [j19]Romana Shahzadi, Syed Muhammad Anwar, Farhan Qamar, Mudassar Ali, Joel J. P. C. Rodrigues, Majdi R. Alnowami:
Secure EEG Signal Transmission for Remote Health Monitoring Using Optical Chaos. IEEE Access 7: 57769-57778 (2019) - [j18]Anum Asif, Muhammad Majid, Syed Muhammad Anwar:
Human stress classification using EEG signals in response to music tracks. Comput. Biol. Medicine 107: 182-196 (2019) - [j17]Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar:
A study on the effects of traditional and olfaction enhanced multimedia on pleasantness classification based on brain activity analysis. Comput. Biol. Medicine 114 (2019) - [j16]Huma Qayyum, Muhammad Majid, Ehatisham ul Haq, Syed Muhammad Anwar:
Generation of personalized video summaries by detecting viewer's emotion using electroencephalography. J. Vis. Commun. Image Represent. 65 (2019) - [j15]Aasim Raheel, Syed Muhammad Anwar, Muhammad Majid:
Emotion recognition in response to traditional and tactile enhanced multimedia using electroencephalography. Multim. Tools Appl. 78(10): 13971-13985 (2019) - [j14]Aamir Arsalan, Muhammad Majid, Amna Rauf Butt, Syed Muhammad Anwar:
Classification of Perceived Mental Stress Using A Commercially Available EEG Headband. IEEE J. Biomed. Health Informatics 23(6): 2257-2264 (2019) - [c15]Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci:
Deep Learning for Musculoskeletal Image Analysis. ACSSC 2019: 1481-1485 - [c14]Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. EMBC 2019: 1201-1204 - [c13]Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Classification of Perceived Human Stress using Physiological Signals. EMBC 2019: 1247-1250 - [c12]Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar:
Electroencephalography Based Machine Learning Framework for Anxiety Classification. INTAP 2019: 187-197 - [c11]Haseeb Iftikhar, Syed Muhammad Anwar, Muhammad Majid:
A Doctor Recommendation System Using Patient's Satisfaction Analysis. INTAP 2019: 201-209 - [c10]Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci:
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology. RNO-AI@MICCAI 2019: 24-35 - [i7]Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Classification of Perceived Human Stress using Physiological Signals. CoRR abs/1905.06384 (2019) - [i6]Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. CoRR abs/1905.10423 (2019) - [i5]Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, Ulas Bagci:
Electroencephalography based Classification of Long-term Stress using Psychological Labeling. CoRR abs/1907.07671 (2019) - [i4]Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci:
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology. CoRR abs/1910.07470 (2019) - 2018
- [j13]Muhammad Zeeshan, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Ikram Ud Din, Muhammad Khurram Khan:
A Newly Developed Ground Truth Dataset for Visual Saliency in Videos. IEEE Access 6: 20855-20867 (2018) - [j12]Tooba Altaf, Syed Muhammad Anwar, Nadia Gul, Muhammad Nadeem Majeed, Muhammad Majid:
Multi-class Alzheimer's disease classification using image and clinical features. Biomed. Signal Process. Control. 43: 64-74 (2018) - [j11]Tayyab Ateeq, Muhammad Nadeem Majeed, Syed Muhammad Anwar, Muazzam Maqsood, Zahoor-Ur Rehman, Jong Weon Lee, Khan Muhammad, Shuihua Wang, Sung Wook Baik, Irfan Mehmood:
Ensemble-classifiers-assisted detection of cerebral microbleeds in brain MRI. Comput. Electr. Eng. 69: 768-781 (2018) - [j10]Syed Muhammad Anwar, Maheen Gul, Muhammad Majid, Majdi R. Alnowami:
Arrhythmia Classification of ECG Signals Using Hybrid Features. Comput. Math. Methods Medicine 2018: 1380348:1-1380348:8 (2018) - [j9]Anam Mustaqeem, Syed Muhammad Anwar, Muhammad Majid:
Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants. Comput. Math. Methods Medicine 2018: 7310496:1-7310496:10 (2018) - [j8]Tehmina Kalsum, Syed Muhammad Anwar, Muhammad Majid, Bilal Khan, Sahibzada Muhammad Ali:
Emotion recognition from facial expressions using hybrid feature descriptors. IET Image Process. 12(6): 1004-1012 (2018) - [j7]Saddam Hussain, Syed Muhammad Anwar, Muhammad Majid:
Segmentation of glioma tumors in brain using deep convolutional neural network. Neurocomputing 282: 248-261 (2018) - [j6]Syed Muhammad Anwar, Muhammad Majid, Adnan Qayyum, Muhammad Awais, Majdi R. Alnowami, Muhammad Khurram Khan:
Medical Image Analysis using Convolutional Neural Networks: A Review. J. Medical Syst. 42(11): 226 (2018) - [j5]Muhammad Majid, Muhammad Owais, Syed Muhammad Anwar:
Visual saliency based redundancy allocation in HEVC compatible multiple description video coding. Multim. Tools Appl. 77(16): 20955-20977 (2018) - [c9]Muhammad Awais Azam, Aeman Shahzadi, Asra Khalid, Syed Muhammad Anwar, Usman Naeem:
Smartphone Based Human Breath Analysis from Respiratory Sounds. EMBC 2018: 445-448 - [c8]Syed Muhammad Anwar, Sobia Yousaf, Muhammad Majid:
Brain tumor segmentation on Multimodal MRI scans using EMAP Algorithm. EMBC 2018: 550-553 - [c7]