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Deformable Capsules for Object Detection


Apr 11, 2021
Rodney Lalonde, Naji Khosravan, Ulas Bagci


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Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis


Apr 07, 2021
Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci


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Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data


Jan 08, 2021
Ali Nawaz, Syed Muhammad Anwar, Rehan Liaqat, Javid Iqbal, Ulas Bagci, Muhammad Majid


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Variational Capsule Encoder


Oct 18, 2020
Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci

* Accepted for publication in the 2020 25th International Conference on Pattern Recognition (ICPR) 

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Brain Tumor Survival Prediction using Radiomics Features


Sep 07, 2020
Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci

* Submitted to RNO Workshop at MICCAI 2020 

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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset


May 26, 2020
Arjun D. Desai, Francesco Caliva, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew Torigian, Jutta Ellermann, Mehmet Akcakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O`Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry E. Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari

* Submitted to Radiology: Artificial Intelligence; Fixed typos 

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Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation


May 11, 2020
Samira Masoudi, Syed M. Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci

* 5 pages,7 figures, EMBC 2020 conference 

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Capsules for Biomedical Image Segmentation


Apr 09, 2020
Rodney LaLonde, Ziyue Xu, Sanjay Jain, Ulas Bagci

* Extension of the non-archival Capsules of Object Segmentation with experiments on both clinical and pre-clinical pathological lung segmentation. arXiv admin note: substantial text overlap with arXiv:1804.04241 

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Deep Learning for Musculoskeletal Image Analysis


Mar 01, 2020
Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci

* Invited Paper, ASILOMAR 2019, TP4b: Machine Learning Advances in Computational Imaging 

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Diagnosing Colorectal Polyps in the Wild with Capsule Networks


Jan 10, 2020
Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci

* Accepted for publication at ISBI 2020 (IEEE International Symposium on Biomedical Imaging). Code is publicly available at https://github.com/lalonderodney/D-Caps 

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A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology


Oct 16, 2019
Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci

* Accepted in MICCAI RNO workshop 

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Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses


Sep 12, 2019
Rodney LaLonde, Drew Torigian, Ulas Bagci

* This pre-print should be considered a work in progress. A future update with further experiments and code is to come 

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Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans


Sep 11, 2019
Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph Stember, Jonathan Shoag, Christopher E. Barbieri, Ulas Bagci, Sachin Jambawalikar

* 9 pages, 3 figures, 2019 MICCAI-DART workshop 

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Weakly Supervised Segmentation by A Deep Geodesic Prior


Aug 18, 2019
Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci

* Accepted to Machine Learning in Medical Imaging (MLMI 2019) 

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Electroencephalography based Classification of Long-term Stress using Psychological Labeling


Jul 17, 2019
Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, Ulas Bagci

* Submitted to IEEE JBHI 

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INN: Inflated Neural Networks for IPMN Diagnosis


Jun 30, 2019
Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci

* Accepted for publication at MICCAI 2019 (22nd International Conference on Medical Image Computing and Computer Assisted Intervention). Code is publicly available at https://github.com/lalonderodney/INN-Inflated-Neural-Nets 

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PAN: Projective Adversarial Network for Medical Image Segmentation


Jun 11, 2019
Naji Khosravan, Aliasghar Mortazi, Michael Wallace, Ulas Bagci

* Accepted for presentation in MICCAI 2019 

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Classification of Perceived Human Stress using Physiological Signals


May 13, 2019
Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci

* Accepted for publication in EMBC 2019 

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Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals


May 13, 2019
Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci

* Accepted in IEEE EMBC 2019 

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Relational Reasoning Network (RRN) for Anatomical Landmarking


Apr 08, 2019
Neslisah Torosdagli, Mary McIntosh, Denise K. Liberton, Payal Verma, Murat Sincan, Wade W. Han, Janice S. Lee, Ulas Bagci

* 10 pages, 6 Figures, 3 Tables 

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Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge


Feb 21, 2019
Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Orjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom MacGillivray, David Newby, Kawal Rhode, Sebastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David Firmin, Guang Yang

* 14 pages, 7 figures, sumitted to Medical Image Analysis 

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Instance-Level Microtubule Segmentation Using Recurrent Attention


Jan 17, 2019
Samira Masoudi, Afsaneh Razi, Cameron H. G. Wright, Jay C. Gatlin, Ulas Bagci

* 10 pages, 8 figures, 4 tables 

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Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems


Dec 09, 2018
Enes Karaaslan, Ulas Bagci, F. Necati Catbas

* 5,240 word texts, 3 tables, 14 figures 

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A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation


Oct 14, 2018
Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran, Rita R. Kalyani, David Reiter, Chee W. Chia, Kenneth W. Fishbein, Richard G. Spencer, Luigi Ferrucci, Ulas Bagci

* In press for IEEE Transactions on Biomedical Engineering (TBME) 

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Supervised and Unsupervised Tumor Characterization in the Deep Learning Era


Jul 29, 2018
Sarfaraz Hussein, Maria M. Chuquicusma, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci

* Submitted to IEEE Transactions on Medical Imaging 2018 

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Automatically Designing CNN Architectures for Medical Image Segmentation


Jul 19, 2018
Aliasghar Mortazi, Ulas Bagci

* Accepted to Machine Learning in Medical Imaging (MLMI 2018) 

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End to End Brain Fiber Orientation Estimation using Deep Learning


Jun 04, 2018
Nandakishore Puttashamachar, Ulas Bagci


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S4ND: Single-Shot Single-Scale Lung Nodule Detection


Jun 03, 2018
Naji Khosravan, Ulas Bagci

* Accepted for publication at MICCAI 2018 (21st International Conference on Medical Image Computing and Computer Assisted Intervention) 

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