Ulas Bagci

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 211

Top Venues

CoRR

EMBC

ISBI

IEEE Trans. Medical Imaging

Publications

Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques. CoRR (2024)
Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela Ladner, Amir Borhani, Ulas Bagci
CT Liver Segmentation via PVT-based Encoding and Refined Decoding. CoRR (2024)
Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci
Explainable Transformer Prototypes for Medical Diagnoses. CoRR (2024)
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. IEEE Internet Things J. 11 (5) (2024)
Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci
Domain Generalization with fourier Transform and soft thresholding. ICASSP (2024)
Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR (2024)
Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. CoRR (2024)
Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. CoRR (2024)
Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci
Domain Generalization with Correlated Style Uncertainty. WACV (2024)
Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. WACV (2024)
Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. CoRR (2024)
Necip Enes Gengeç, Ergin Tari, Ulas Bagci
AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory. Earth Sci. Informatics 17 (2) (2024)
Quoc-Huy Trinh, Hai-Dang Nguyen, Bao-Tram Nguyen Ngoc, Debesh Jha, Ulas Bagci, Minh-Triet Tran
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation. CoRR (2024)
Zheyuan Zhang, Ulas Bagci
Segmentation Quality and Volumetric Accuracy in Medical Imaging. CoRR (2024)
Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. CoRR (2024)
Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, Reza Azad, Ali Diba, Ulas Bagci, Dorit Merhof, Ilker Hacihaliloglu
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis. CoRR (2024)
Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation. CoRR (2024)
Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Koushik Biswas, Ahmet Enis Çetin, Ulas Bagci
DCT-Based Decorrelated Attention for Vision Transformers. CoRR (2024)
Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine Ulku Saritas, Ulas Bagci, Haydar Celik, Tolga Çukur
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Abhijit Das, Debesh Jha, Jasmer Sanjotra, Onkar Susladkar, Suramyaa Sarkar, Ashish Rauniyar, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
Ethical Framework for Responsible Foundational Models in Medical Imaging. CoRR (2024)
Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. WACV (2024)
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 (2024)
Yalcin Tur, Jasmine Vu, Selam Waktola, Alpay Medetalibeyoglu, Laleh Golestanirad, Ulas Bagci
Prediction of MRI-Induced Power Absorption in Patients with DBS Leads. CBMS (2024)
Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci
PAM-UNet: Shifting Attention on Region of Interest in Medical Images. CoRR (2024)
Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. WACV (2024)
Haydar Ankishan, Haluk Ulucanlar, Islam Aktürk, Kübra Alphan Kavak, Ulas Bagci, Bülent Mustafa Yenigün
Early stage lung cancer detection from speech sounds in natural environments. Biomed. Signal Process. Control. 96 (2024)
Reza Azad, Leon Niggemeier, Michael Hüttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. WACV (2024)
Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. CoRR (2023)
Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation. CoRR (2023)
Lanhong Yao, Zheyuan Zhang, Ulas Bagci
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. CoRR (2023)
Zheyuan Zhang, Lanhong Yao, Bin Wang, Debesh Jha, Elif Keles, Alpay Medetalibeyoglu, Ulas Bagci
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model. CoRR (2023)
Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning. CoRR (2023)
Debesh Jha, Nikhil Kumar Tomar, Ulas Bagci
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation. CoRR (2023)
Ilkin Isler, Debesh Jha, Curtis Lisle, Justin Rineer, Patrick Kelly, Bulent Aydogan, Mohamed Abazeed, Damla Turgut, Ulas Bagci
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification. CoRR (2023)
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
PGS: Pose-Guided Supervision for Mitigating Clothes-Changing in Person Re-Identification. CoRR (2023)
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof
Self-supervised Semantic Segmentation: Consistency over Transformation. ICCV (Workshops) (2023)
Elif Keles, Ulas Bagci
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review. npj Digit. Medicine 6 (2023)
Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Cetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci
GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. CoRR (2023)
Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela Ladner, Amir Borhani, Ulas Bagci
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans. CoRR (2023)
Aliasghar Mortazi, Vedat Cicek, Elif Keles, Ulas Bagci
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation. CoRR (2023)
Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. MIDL (2023)
Bin Wang, Armstrong Aboah, Zheyuan Zhang, Hongyi Pan, Ulas Bagci
GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model. Gaze Meets ML (2023)
Merey Sarsengeldin, Sanim Imatayeva, Nurmukhamed Abeuov, Myrzakhan Naukhanov, Abdullah Said Erdogan, Debesh Jha, Ulas Bagci
Gastrointestinal Disease Diagnosis with Hybrid Model of Capsules and CNNs. eIT (2023)
Koushik Biswas, Meghana Karri, Ulas Bagci
A Non-monotonic Smooth Activation Function. CoRR (2023)
Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc Bruno, Rajesh Keswani, Frank Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci
Radiomics Boosts Deep Learning Model for IPMN Classification. MLMI@MICCAI (2) (2023)
Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci
An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation. EMBC (2023)
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof
Self-supervised Semantic Segmentation: Consistency over Transformation. CoRR (2023)
Debesh Jha, Ashish Rauniyar, Abhishek Srivastava, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Vanshali Sharma, Elif Keles, Zheyuan Zhang, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. CoRR (2023)
Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
RUPNet: Residual upsampling network for real-time polyp segmentation. CoRR (2023)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
Prototype Learning for Out-of-Distribution Polyp Segmentation. CoRR (2023)
Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc Bruno, Rajesh Keswani, Frank Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci
Radiomics Boosts Deep Learning Model for IPMN Classification. CoRR (2023)
Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation. CoRR (2023)
Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. CoRR (2023)
Md. Manjurul Ahsan, Md Shahin Ali, Md. Mehedi Hassan, Tareque Abu Abdullah, Kishor Datta Gupta, Ulas Bagci, Chetna Kaushal, Naglaa F. Soliman
Monkeypox Diagnosis With Interpretable Deep Learning. IEEE Access 11 (2023)
Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. CoRR (2023)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. MMM (1) (2023)
Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. CVPR Workshops (2023)
Reza Azad, Leon Niggemeier, Michael Huttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. CoRR (2023)
Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. CoRR (2023)
Necip Enes Gengeç, Ergin Tari, Ulas Bagci
AI Powered Road Network Prediction with Multi-Modal Data. CoRR (2023)
Ulas Bagci, Jayaram K. Udupa, Xinjian Chen, Drew A. Torigian, Alpay Medetalibeyoglu, Diwei Zhou, Li Bai
Object Localization Using Non-Euclidean Metrics. IoTaIS (2023)
Arghavan Rahimi, Mohammad Hosntalab, Farshid Babapour Mofrad, Mahasti Amoui, Ulas Bagci
An automatic segmentation framework for computer-assisted renal scintigraphy procedure. Medical Biol. Eng. Comput. 61 (1) (2023)
Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications. CoRR (2023)
Ariana M. Familiar, Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow, Nastaran Khalili, Sina Bagheri, Debanjan Haldar, Meen Chul Kim, Sherjeel Arif, Rachel Madhogarhia, Thinh Q. Nguyen, Elizabeth A. Frenkel, Zeinab Helili, Jessica Harrison, Keyvan Farahani, Marius George Linguraru, Ulas Bagci, Yury Velichko, Jeffrey Stevens, Sarah E. S. Leary, Robert M. Lober, Stephani Campion, Amy A. Smith, Denise Morinigo, Brian Rood, Kimberly Diamond, Ian F. Pollack, Melissa Williams, Arastoo Vossough, Jeffrey B. Ware, Sabine Müller, Phillip B. Storm, Allison P. Heath, Angela J. Waanders, Jena V. Lilly, Jennifer L. Mason, Adam C. Resnick, Ali Nabavizadeh
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network. CoRR (2023)
Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. CoRR (2023)
Hongyi Pan, Bin Wang, Zheyuan Zhan, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci
Domain Generalization with Fourier Transform and Soft Thresholding. CoRR (2023)
Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. CVPR Workshops (2023)
Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. CoRR (2023)
Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD (2023)
Elif Keles, Ulas Bagci
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence. CoRR (2023)
Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. MICCAI (3) (2023)
Lanhong Yao, Zheyuan Zhang, Ulas Bagci
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. ISBI (2023)
Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof
HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. CoRR (2023)
Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. CoRR (2023)
Smriti Regmi, Aliza Subedi, Ulas Bagci, Debesh Jha
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification. CoRR (2023)
Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. CoRR (2023)
Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. MICCAI (3) (2023)
Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci
GazeSAM: What You See is What You Segment. CoRR (2023)
Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR (2023)
Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. CoRR (2023)
Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha
TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation. EMBC (2023)
Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
RUPNet: residual upsampling network for real-time polyp segmentation. Medical Imaging: Computer-Aided Diagnosis (2023)
Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci
Domain Generalization with Correlated Style Uncertainty. CoRR (2022)
Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci
Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation. HECKTOR@MICCAI (2022)
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. CoRR (2022)
Fikret Necati Catbas, Furkan Luleci, Mahta Zakaria, Ulas Bagci, Joseph J. LaViola, Carolina Cruz-Neira, Dirk Reiners
Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review. Sensors 22 (23) (2022)
Ilkin Isler, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, Jacob Ricci, Ulas Bagci
Enhancing organ at risk segmentation with improved deep neural networks. Medical Imaging: Image Processing (2022)
Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CBMS (2022)
Ilkin Isler, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, Jacob Ricci, Ulas Bagci
Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks. CoRR (2022)
Amir Emad Marvasti, Ehsan Emad Marvasti, Ulas Bagci
Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem. CoRR (2022)
Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci
Multi-Scale Fusion Methodologies for Head and Neck Tumor Segmentation. CoRR (2022)
Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CoRR (2022)
Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine Ulku Saritas, Ulas Bagci, Haydar Celik, Tolga Çukur
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers. CoRR (2022)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. CoRR (2022)
Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci
Video Analytics in Elite Soccer: A Distributed Computing Perspective. SAM (2022)
Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CoRR (2022)
Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CBMS (2022)
Zheyuan Zhang, Ulas Bagci
Dynamic Linear Transformer for 3D Biomedical Image Segmentation. CoRR (2022)
Zheyuan Zhang, Ulas Bagci
Dynamic Linear Transformer for 3D Biomedical Image Segmentation. MLMI@MICCAI (2022)
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) (2022)

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