Ulas Bagci
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
79
Venues
17
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
79 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ETRA | What They Saw, Not Just Where They Looked: Semantic Scanpath Similarity via VLMs and NLP metrics. | Mohamed Amine Kerkouri, Marouane Tliba, Bin Wang, Aladine Chetouani, Ulas Bagci, Alessandro Bruno |
| 2026 | ETRA | GazeVaLM: A Multi-Observer Eye-Tracking Benchmark for Evaluating Clinical Realism in AI-Generated X-Rays. | David C. Wong, Zeynep Isik, Bin Wang, Marouane Tliba, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Aladine Chetouani, Cagdas Topel, Nicolo Gennaro, Camila Lopes Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric M. Hart, Elizabeth A. Krupinski, Ulas Bagci |
| 2025 | CVPR | Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging. | David C. Wong, Bin Wang, Gorkem Durak, Marouane Tliba, Akshay Chaudhari, Aladine Chetouani, Ahmet Enis etin, Cagdas Topel, Nicolo Gennaro, Camila Lopes Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric M. Hart, Drew A. Torigian, Jayaram K. Udupa, Elizabeth A. Krupinski, Ulas Bagci |
| 2025 | ETRA | Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images. | David C. Wong, Bin Wang, Gorkem Durak, Marouane Tliba, Mohamed Amine Kerkouri, Aladine Chetouani, Ahmet Enis etin, Cagdas Topel, Nicolo Gennaro, Camila Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric M. Hart, Elizabeth A. Krupinski, Ulas Bagci |
| 2025 | ICASSP | MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. | Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Vandan Gorade, Abhijit Das, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci |
| 2025 | ICASSP | Frequency-Based Federated Domain Generalization for Polyp Segmentation. | Hongyi Pan, Debesh Jha, Koushik Biswas, Ulas Bagci |
| 2025 | ICASSP | Transformer-Enhanced Iterative Feedback Mechanism For Polyp Segmentation. | Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas, Ulas Bagci |
| 2025 | ICCV | TAGS: 3D Tumor-Adaptive Guidance for SAM. | Sirui Li, Linkai Peng, Zheyuan Zhang, Gorkem Durak, Ulas Bagci |
| 2025 | ICCV | ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis. | Onkar Susladkar, Gayatri Deshmukh, Yalcin Tur, Gorkem Durak, Ulas Bagci |
| 2025 | ICCV | Describe Anything Model for Visual Question Answering on Text-Rich Images. | Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu |
| 2025 | ICCV | VideoAds for Fast-Paced Video Understanding. | Zheyuan Zhang, Wanying Dou, Linkai Peng, Hongyi Pan, Ulas Bagci, Boqing Gong |
| 2025 | ICLR | Order-aware Interactive Segmentation. | Bin Wang, Anwesa Choudhuri, Meng Zheng, Zhongpai Gao, Benjamin Planche, Andong Deng, Qin Liu, Terrence Chen, Ulas Bagci, Ziyan Wu |
| 2025 | MICCAI | Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-phase MRI. | Quang-Khai Bui-Tran, Minh-Toan Dinh, Thanh-Huy Nguyen, Ba-Thinh Lam, Mai-Anh Vu, Ulas Bagci |
| 2025 | MICCAI | Pancreas Part Segmentation Under Federated Learning Paradigm. | Ziliang Hong, Halil Ertugrul Aktas, Andrea Mia Bejar, Katherine Wu, Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Sait Kayali, Temel Tirkes, Federica Proietto Salanitri, Concetto Spampinato, Michael Goggins, Tamas Gonda, Candice Bolan, Rajesh Keswani, Frank H. Miller, Michael B. Wallace, Ulas Bagci |
| 2025 | MICCAI | Imaging-Based Mortality Prediction in Patients with Systemic Sclerosis. | Alec Peltekian, Karolina Senkow, Gorkem Durak, Kevin M. Grudzinski, Bradford C. Bemiss, Jane E. Dematte, Carrie Richardson, Nikolay S. Markov, Philip H. Carns, Kathleen Aren, Alexandra Soriano, Matthew Dapas, Harris Perlman, Aaron Gundersheimer, Kavitha C. Selvan, John Varga, Monique Hinchcliff, Krishnan Warrior, Catherine A. Gao, Richard G. Wunderink, G. R. Scott Budinger, Alok N. Choudhary, Anthony J. Esposito, Alexander V. Misharin, Ankit Agrawal, Ulas Bagci |
| 2025 | MICCAI | GMAT: Grounded Multi-agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification. | Ngoc Bui Lam Quang, Nam Le Nguyen Binh, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Quan Nguyen, Ulas Bagci |
| 2025 | WACV | Optimizing Neural Network Effectiveness via Non-monotonicity Refinement. | Koushik Biswas, Amit Reza, Meghana Karri, Debesh Jha, Hongyi Pan, Nikhil Kumar Tomar, Aliza Subedi, Smriti Regmi, Ulas Bagci |
| 2025 | WACV | Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation Under Degradation. | Sanaz Karimijafarbigloo, Sina Ghorbani Kolahi, Reza Azad, Ulas Bagci, Dorit Merhof |
| 2025 | WACV | Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-Supervised Medical Image Segmentation. | Meghana Karri, Amit Soni Arya, Koushik Biswas, Nicolo Gennaro, Vedat Cicek, Gorkem Durak, Yuri S. Velichko, Ulas Bagci |
| 2024 | AVSS | PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification. | Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang, Phuoc-Thao Vo Thi, Hai-Dang Nguyen, Debesh Jha, Ulas Bagci, Ngan Le, Minh-Triet Tran |
| 2024 | BMVC | SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation. | Quoc-Huy Trinh, Hai-Dang Nguyen, Bao-Tram Nguyen Ngoc, Debesh Jha, Ulas Bagci, Minh-Triet Tran |
| 2024 | CBMS | Prediction of MRI-Induced Power Absorption in Patients with DBS Leads. | Yalcin Tur, Jasmine Vu, Selam Waktola, Alpay Medetalibeyoglu, Laleh Golestanirad, Ulas Bagci |
| 2024 | CVPR | PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation. | Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu |
| 2024 | CVPR | ControlPolypNet: Towards Controlled Colon Polyp Synthesis for Improved Polyp Segmentation. | Vanshali Sharma, Abhishek Kumar, Debesh Jha, Manas Kamal Bhuyan, Pradip K. Das, Ulas Bagci |
| 2024 | ICASSP | Domain Generalization with fourier Transform and soft thresholding. | Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis etin, Concetto Spampinato, Ulas Bagci |
| 2024 | ICPR | ProFONet: Prototypical Feature Space Optimized Network for Few Shot Classification. | Abhijit Das, Vandan Gorade, Debesh Jha, Koushik Biswas, Pethuru Raj, Ulas Bagci |
| 2024 | ICPR | Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation. | Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci |
| 2024 | ICPR | Evidential Federated Learning for Skin Lesion Image Classification. | Rutger Hendrix, Federica Proietto Salanitri, Concetto Spampinato, Simone Palazzo, Ulas Bagci |
| 2024 | MICCAI | Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. | Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci |
| 2024 | MICCAI | Practical and Ethical Considerations for Generative AI in Medical Imaging. | Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma, Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael B. Wallace, Cemal Yazici, Tyler M. Berzin, Koushik Biswas, Ulas Bagci |
| 2024 | MICCAI | Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. | Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci |
| 2024 | MICCAI | Classification of Endoscopy and Video Capsule Images Using CNN-Transformer Model. | Aliza Subedi, Smriti Regmi, Nisha Regmi, Bhumi Bhusal, Ulas Bagci, Debesh Jha |
| 2024 | WACV | Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. | Reza Azad, Leon Niggemeier, Michael Httemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof |
| 2024 | WACV | SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. | Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci |
| 2024 | WACV | INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. | Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci |
| 2024 | WACV | GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. | Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci |
| 2024 | WACV | Domain Generalization with Correlated Style Uncertainty. | Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci |
| 2023 | CVPR | DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. | Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi |
| 2023 | CVPR | Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. | Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi |
| 2023 | MICCAI | Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. | Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof |
| 2023 | MICCAI | A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. | Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato |
| 2023 | MMM | DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. | Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci |
| 2022 | CBMS | Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. | Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha |
| 2022 | CBMS | Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. | Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha |
| 2022 | ICIAP | Transformer Based Generative Adversarial Network for Liver Segmentation. | Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci |
| 2022 | MICCAI | Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation. | Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci |
| 2022 | MICCAI | TGANet: Text-Guided Attention for Improved Polyp Segmentation. | Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali |
| 2022 | MICCAI | Dynamic Linear Transformer for 3D Biomedical Image Segmentation. | Zheyuan Zhang, Ulas Bagci |
| 2021 | MICCAI | Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. | Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci |
| 2021 | MICCAI | Hierarchical 3D Feature Learning forPancreas Segmentation. | Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato |
| 2020 | ICPR | Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans. | Francesca Murabito, Simone Palazzo, Federica Proietto Salanitri, Francesco Rundo, Ulas Bagci, Daniela Giordano, Rosalia Leonardi, Concetto Spampinato |
| 2020 | ICPR | Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans. | Simone Palazzo, Giovanni Bellitto, Luca Prezzavento, Francesco Rundo, Ulas Bagci, Daniela Giordano, Rosalia Leonardi, Concetto Spampinato |
| 2020 | ICPR | Variational Capsule Encoder. | Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci |
| 2020 | MICCAI | Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses. | Rodney LaLonde, Drew A. Torigian, Ulas Bagci |
| 2020 | MICCAI | Overall Survival Prediction in Gliomas Using Region-Specific Radiomic Features. | Asma Shaheen, Stefano Burigat, Ulas Bagci, Hassan Mohy-ud-Din |
| 2020 | MICCAI | Brain Tumor Survival Prediction Using Radiomics Features. | Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci |
| 2020 | MICCAI | State-of-the-Art in Brain Tumor Segmentation and Current Challenges. | Sobia Yousaf, Harish RaviPrakash, Syed Muhammad Anwar, Nosheen Sohail, Ulas Bagci |
| 2019 | ACSSC | Deep Learning for Musculoskeletal Image Analysis. | Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | PAN: Projective Adversarial Network for Medical Image Segmentation. | Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci |
| 2019 | MICCAI | INN: Inflated Neural Networks for IPMN Diagnosis. | Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci |
| 2019 | MICCAI | Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. | Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar |
| 2019 | MICCAI | Weakly Supervised Segmentation by a Deep Geodesic Prior. | Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci |
| 2018 | MICCAI | S4ND: Single-Shot Single-Scale Lung Nodule Detection. | Naji Khosravan, Ulas Bagci |
| 2018 | MICCAI | Automatically Designing CNN Architectures for Medical Image Segmentation. | Aliasghar Mortazi, Ulas Bagci |
| 2017 | MICCAI | Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT. | Aliasghar Mortazi, Jeremy Burt, Ulas Bagci |
| 2017 | MICCAI | CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN. | Aliasghar Mortazi, Rashed Karim, Kawal S. Rhode, Jeremy Burt, Ulas Bagci |
| 2017 | SMC | Automatic response assessment in regions of language cortex in epilepsy patients using ECoG-based functional mapping and machine learning. | Harish RaviPrakash, Milena Korostenskaja, Ki Lee, James Baumgartner, Eduardo Castillo, Ulas Bagci |
| 2016 | MICCAI | Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. | Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura |
| 2016 | MICCAI | Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. | Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth C. Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci |
| 2014 | MICCAI | Optimally Stabilized PET Image Denoising Using Trilateral Filtering. | Awais Mansoor, Ulas Bagci, Daniel J. Mollura |
| 2014 | MICCAI | Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. | Ziyue Xu, Ulas Bagci, Jurgen Seidel, David Thomasson, Jeffrey M. Solomon, Daniel J. Mollura |
| 2013 | MICCAI | Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate. | Ulas Bagci, Daniel J. Mollura |
| 2013 | MICCAI | Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces. | Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Daniel J. Mollura |
| 2012 | MICCAI | Co-segmentation of Functional and Anatomical Images. | Ulas Bagci, Jayaram K. Udupa, Jianhua Yao, Daniel J. Mollura |
| 2011 | CIARP | A New Prior Shape Model for Level Set Segmentation. | Poay Hoon Lim, Ulas Bagci, Li Bai |
| 2011 | MICCAI | Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. | Ulas Bagci, Jianhua Yao, Jesus Caban, Anthony F. Suffredini, Tara N. Palmore, Daniel J. Mollura |
| 2010 | ICIP | 3D automatic anatomy segmentation based on graph cut-oriented active appearance models. | Xinjian Chen, Jianhua Yao, Ying Zhuge, Ulas Bagci |
| 2008 | ICIP | Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition. | Ulas Bagci, Li Bai |