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2020 – today
- 2025
- [j48]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, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025) - [j47]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. Medical Image Anal. 99: 103382 (2025) - [e2]Federica Proietto Salanitri
, Serestina Viriri
, Ulas Bagci
, Pallavi Tiwari
, Boqing Gong, Concetto Spampinato
, Simone Palazzo
, Giovanni Bellitto
, Nancy Zlatintsi, Panagiotis Paraskevas Filntisis
, Cecilia S. Lee
, Aaron Y. Lee
:
Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine - First International Workshop, AIPAD 2024 and First International Workshop, PILM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15197, Springer 2025, ISBN 978-3-031-73482-3 [contents] - 2024
- [j46]Rodney LaLonde, Naji Khosravan, Ulas Bagci
:
Deformable Capsules for Object Detection. Adv. Intell. Syst. 6(9) (2024) - [j45]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: 106628 (2024) - [j44]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): 1013-1029 (2024) - [j43]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): 7374-7398 (2024) - [j42]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): 1273-1284 (2024) - [c121]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:
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification. AVSS 2024: 1-8 - [c120]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: 490-495 - [c119]Vanshali Sharma, Abhishek Kumar, Debesh Jha, Manas Kamal Bhuyan, Pradip K. Das, Ulas Bagci:
ControlPolypNet: Towards Controlled Colon Polyp Synthesis for Improved Polyp Segmentation. CVPR Workshops 2024: 2325-2334 - [c118]Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu:
PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation. CVPR Workshops 2024: 4989-4995 - [c117]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. EMBC 2024: 1-5 - [c116]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. EMBC 2024: 1-4 - [c115]Debesh Jha, Nikhil Kumar Tomar, Debayan Bhattacharya, Koushik Biswas, Ulas Bagci:
TransRUPNet for Improved Polyp Segmentation. EMBC 2024: 1-4 - [c114]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: 2106-2110 - [c113]Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci:
Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation. ICPR (13) 2024: 178-193 - [c112]Rutger Hendrix
, Federica Proietto Salanitri
, Concetto Spampinato
, Simone Palazzo
, Ulas Bagci
:
Evidential Federated Learning for Skin Lesion Image Classification. ICPR (29) 2024: 354-365 - [c111]Abhijit Das, Vandan Gorade, Debesh Jha, Koushik Biswas, Pethuru Raj, Ulas Bagci:
ProFONet: Prototypical Feature Space Optimized Network for Few Shot Classification. ICPR (7) 2024: 392-406 - [c110]Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. ISBI 2024: 1-5 - [c109]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. ISBI 2024: 1-5 - [c108]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. ISBI 2024: 1-6 - [c107]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding. ISBI 2024: 1-5 - [c106]Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning. ISBI 2024: 1-5 - [c105]Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation. ISBI 2024: 1-5 - [c104]Aliza Subedi, Smriti Regmi, Nisha Regmi, Bhumi Bhusal, Ulas Bagci, Debesh Jha:
Classification of Endoscopy and Video Capsule Images Using CNN-Transformer Model. CaPTion@MICCAI 2024: 26-36 - [c103]Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci:
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. AIPAD/PILM@MICCAI 2024: 35-44 - [c102]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
:
Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. MICCAI (9) 2024: 65-74 - [c101]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:
Practical and Ethical Considerations for Generative AI in Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 176-187 - [c100]Koushik Biswas
, Ridam Pal
, Shaswat Patel
, Debesh Jha
, Meghana Karri
, Amit Reza
, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko
, Daniela P. Ladner
, Amir Borhani, Ulas Bagci
:
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. MLMI@MICCAI (1) 2024: 1-11 - [c99]Xin Zhu, Hongyi Pan, Batuhan Gundogdu, Debesh Jha, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci:
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. MLMI@MICCAI (1) 2024: 208-217 - [c98]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: 1276-1286 - [c97]Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci:
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. WACV 2024: 1287-1296 - [c96]Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci:
Domain Generalization with Correlated Style Uncertainty. WACV 2024: 1989-1998 - [c95]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: 2183-2192 - [c94]Vandan Gorade
, Sparsh Mittal, Debesh Jha, Ulas Bagci:
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. WACV 2024: 7753-7762 - [i137]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
CT Liver Segmentation via PVT-based Encoding and Refined Decoding. CoRR abs/2401.09630 (2024) - [i136]Vandan Gorade
, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci:
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. CoRR abs/2401.10373 (2024) - [i135]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 abs/2403.05024 (2024) - [i134]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. CoRR abs/2403.06961 (2024) - [i133]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 abs/2404.17064 (2024) - [i132]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 abs/2405.01503 (2024) - [i131]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 abs/2405.06166 (2024) - [i130]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 abs/2405.12367 (2024) - [i129]Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Koushik Biswas, Ahmet Enis Çetin, Ulas Bagci:
DCT-Based Decorrelated Attention for Vision Transformers. CoRR abs/2405.13901 (2024) - [i128]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 abs/2405.16740 (2024) - [i127]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) - [i126]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 abs/2406.03430 (2024) - [i125]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 abs/2406.11868 (2024) - [i124]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 abs/2406.14819 (2024) - [i123]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 abs/2407.19284 (2024) - [i122]Vandan Gorade, Onkar Susladkar, Gorkem Durak, Elif Keles, Ertugrul Aktas, Timurhan Cebeci, Alpay Medetalibeyoglu, Daniela P. Ladner, Debesh Jha, Ulas Bagci:
Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs. CoRR abs/2408.04491 (2024) - [i121]Koushik Biswas, Ridal Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. CoRR abs/2408.05692 (2024) - [i120]Aliza Subedi, Smriti Regmi, Nisha Regmi, Bhumi Bhusal, Ulas Bagci, Debesh Jha:
Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model. CoRR abs/2408.10733 (2024) - [i119]Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Quoc-Huy Trinh, Koushik Biswas, Hongyi Pan, Ritika Kumari Jha, Gorkem Durak, Alexander Hann, Jonas Varkey, Hang Viet Dao, Long Van Dao, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci:
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. CoRR abs/2409.00045 (2024) - [i118]Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas, Tyler M. Berzin, Rajesh Keswani, Michael B. Wallace, Ulas Bagci:
Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation. CoRR abs/2409.05875 (2024) - [i117]Bin Wang, Anwesa Choudhuri, Meng Zheng, Zhongpai Gao, Benjamin Planche, Andong Deng, Qin Liu, Terrence Chen, Ulas Bagci, Ziyan Wu:
Order-aware Interactive Segmentation. CoRR abs/2410.12214 (2024) - [i116]Debesh Jha, Onkar Susladkar, Vandan Gorade, Elif Keles, Matthew Antalek, Deniz Seyithanoglu, Timurhan Cebeci, Ertugrul Aktas, Gulbiz Dagoglu Kartal, Sabahattin Kaymakoglu, Sukru Mehmet Erturk, Yuri S. Velichko, Daniela P. Ladner, Amir Borhani, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci:
CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver. CoRR abs/2410.16296 (2024) - [i115]Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Yavuz Taktak, Elif Keles, Ertugrul Aktas, Alpay Medetalibeyoglu, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Rajesh N. Keswani, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Michael G. Goggins, Michael B. Wallace, Ziyue Xu, Ulas Bagci:
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. CoRR abs/2410.22530 (2024) - [i114]Max Bengtsson, Elif Keles, Gorkem Durak, Syed Anwar, Yuri S. Velichko, Marius G. Linguraru, Angela J. Waanders, Ulas Bagci:
A New Logic For Pediatric Brain Tumor Segmentation. CoRR abs/2411.01390 (2024) - [i113]Hongyi Pan, Ziliang Hong, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Yavuz Taktak, Alpay Medetalibeyoglu, Zheyuan Zhang, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ziyue Xu, Ulas Bagci:
IPMN Risk Assessment under Federated Learning Paradigm. CoRR abs/2411.05697 (2024) - [i112]Rutger Hendrix, Federica Proietto Salanitri, Concetto Spampinato, Simone Palazzo, Ulas Bagci:
Evidential Federated Learning for Skin Lesion Image Classification. CoRR abs/2411.10071 (2024) - [i111]Yalcin Tur, Vedat Cicek, Tufan Cinar, Elif Keles, Bradlay D. Allen, Hatice Savas, Gorkem Durak, Alpay Medetalibeyoglu, Ulas Bagci:
Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost. CoRR abs/2411.18063 (2024) - [i110]Meghana Karri, Amit Soni Arya, Koushik Biswas, Nicolo Gennaro, Vedat Cicek, Gorkem Durak, Yuri S. Velichko, Ulas Bagci:
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation. CoRR abs/2412.15380 (2024) - 2023
- [j41]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: 81965-81980 (2023) - [j40]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): 285-295 (2023) - [j39]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) - [c93]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: 5350-5358 - [c92]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: 5359-5365 - [c91]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: 143-146 - [c90]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: 1-4 - [c89]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: 1-4 - [c88]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: 254-265 - [c87]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni
, Yury Velichko, Ulas Bagci, Dorit Merhof:
Self-supervised Semantic Segmentation: Consistency over Transformation. ICCV (Workshops) 2023: 2646-2655 - [c86]Ulas Bagci, Jayaram K. Udupa, Xinjian Chen, Drew A. Torigian, Alpay Medetalibeyoglu, Diwei Zhou, Li Bai:
Object Localization Using Non-Euclidean Metrics. IoTaIS 2023: 1-7 - [c85]Lanhong Yao, Zheyuan Zhang, Ulas Bagci:
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. ISBI 2023: 1-5 - [c84]Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
RUPNet: residual upsampling network for real-time polyp segmentation. Computer-Aided Diagnosis 2023 - [c83]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: 422-431 - [c82]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: 736-746 - [c81]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: 1372-1384 - [c80]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: 125-140 - [c79]Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank H. 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: 134-143 - [c78]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. MMM (1) 2023: 334-344 - [i109]Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk C. F. 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 abs/2301.02181 (2023) - [i108]Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
RUPNet: Residual upsampling network for real-time polyp segmentation. CoRR abs/2301.02703 (2023) - [i107]Elif Keles, Ulas Bagci:
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence. CoRR abs/2302.00225 (2023) - [i106]Aliasghar Mortazi, Vedat Cicek, Elif Keles, Ulas Bagci:
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation. CoRR abs/2302.02289 (2023) - [i105]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 abs/2303.07428 (2023) - [i104]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 abs/2304.02720 (2023) - [i103]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 abs/2304.08256 (2023) - [i102]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 abs/2304.08261 (2023) - [i101]Smriti Regmi, Aliza Subedi, Ulas Bagci, Debesh Jha:
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification. CoRR abs/2304.11529 (2023) - [i100]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 abs/2304.11530 (2023) - [i99]Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci:
GazeSAM: What You See is What You Segment. CoRR abs/2304.13844 (2023) - [i98]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 abs/2305.02491 (2023) - [i97]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. CoRR abs/2305.18221 (2023) - [i96]Debesh Jha, Nikhil Kumar Tomar, Ulas Bagci:
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation. CoRR abs/2306.02176 (2023) - [i95]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 abs/2307.02984 (2023) - [i94]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 abs/2307.08140 (2023) - [i93]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 abs/2307.16262 (2023) - [i92]Lanhong Yao, Zheyuan Zhang, Ulas Bagci:
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation. CoRR abs/2308.00128 (2023) - [i91]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
Prototype Learning for Out-of-Distribution Polyp Segmentation. CoRR abs/2308.03709 (2023) - [i90]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 abs/2309.00108 (2023) - [i89]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 abs/2309.00121 (2023) - [i88]