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2020 – today
- 2025
[j12]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)- [j11]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) - [c55]Koushik Biswas, Amit Reza, Meghana Karri, Debesh Jha, Hongyi Pan, Nikhil Kumar Tomar, Aliza Subedi, Smriti Regmi, Ulas Bagci:
Optimizing Neural Network Effectiveness via Non-monotonicity Refinement. WACV 2025: 4300-4309 - [c54]Tapas Kumar Dutta, Snehashis Majhi, Deepak Ranjan Nayak, Debesh Jha:
SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation. WACV 2025: 4655-4664 - [i75]Vandan Gorade, Sparsh Mittal, Neethi Dasu, Rekha Singhal, KC Santosh, Debesh Jha:
L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation. CoRR abs/2502.05229 (2025) - [i74]Vanshali Sharma, Debesh Jha, Manas Kamal Bhuyan, Pradip K. Das, Ulas Bagci:
Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification. CoRR abs/2502.05444 (2025) - [i73]Jun Zeng, Debesh Jha, Ertugrul Aktas, Elif Keles, Alpay Medetalibeyoglu, Matthew Antalek, Amir Borhani, Daniela P. Ladner, Gorkem Durak, Ulas Bagci:
Liver Cirrhosis Stage Estimation from MRI with Deep Learning. CoRR abs/2502.18225 (2025) - [i72]Jun Zeng, Ulas Bagci, Debesh Jha:
A Reverse Mamba Attention Network for Pathological Liver Segmentation. CoRR abs/2502.18232 (2025) - [i71]Jun Zeng, KC Santosh, Deepak Rajan Nayak, Thomas de Lange, Jonas Varkey, Tyler M. Berzin, Debesh Jha:
FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention. CoRR abs/2504.13597 (2025) - 2024
- [j10]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) - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]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 - [c48]Debesh Jha, Nikhil Kumar Tomar, Debayan Bhattacharya, Koushik Biswas, Ulas Bagci:
TransRUPNet for Improved Polyp Segmentation. EMBC 2024: 1-4 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci:
Domain Generalization with Correlated Style Uncertainty. WACV 2024: 1989-1998 - [c35]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 - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]Tapas Kumar Dutta, Snehashis Majhi, Deepak Ranjan Nayak, Debesh Jha:
SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation. CoRR abs/2412.08482 (2024) - 2023
- [j9]Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9375-9388 (2023) - [c34]Bogdan Ionescu, Henning Müller, Ana-Maria Dragulinescu, Wen-wai Yim, Asma Ben Abacha, Neal Snider, Griffin Adams, Meliha Yetisgen, Johannes Rückert, Alba García Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Steven Alexander Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen, Nikolaos Papachrysos, Johanna Schöler, Debesh Jha, Alexandra-Georgiana Andrei, Ioan Coman, Vassili Kovalev, Ahmedkhan Radzhabov, Yuri Prokopchuk, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Jérôme Deshayes, Adrian Popescu:
Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. CLEF 2023: 370-396 - [c33]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 - [c32]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 - [c31]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 - [c30]Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
RUPNet: residual upsampling network for real-time polyp segmentation. Computer-Aided Diagnosis 2023 - [c29]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 - [c28]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 - [c27]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. MMM (1) 2023: 334-344 - [i53]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) - [i52]Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
RUPNet: Residual upsampling network for real-time polyp segmentation. CoRR abs/2301.02703 (2023) - [i51]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) - [i50]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) - [i49]Smriti Regmi, Aliza Subedi, Ulas Bagci, Debesh Jha:
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification. CoRR abs/2304.11529 (2023) - [i48]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) - [i47]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) - [i46]Debesh Jha, Nikhil Kumar Tomar, Ulas Bagci:
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation. CoRR abs/2306.02176 (2023) - [i45]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) - [i44]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) - [i43]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
Prototype Learning for Out-of-Distribution Polyp Segmentation. CoRR abs/2308.03709 (2023) - [i42]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 abs/2309.09866 (2023) - [i41]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 abs/2310.12868 (2023) - [i40]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. CoRR abs/2310.17764 (2023) - [i39]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. CoRR abs/2311.16700 (2023) - [i38]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 abs/2312.05634 (2023) - [i37]Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans. CoRR abs/2312.11480 (2023) - 2022
- [j8]Rabindra Khadka, Debesh Jha, Steven Hicks, Vajira Thambawita, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation. Comput. Biol. Medicine 143: 105227 (2022) - [j7]Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 26(5): 2252-2263 (2022) - [c26]Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha:
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CBMS 2022: 317-322 - [c25]Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CBMS 2022: 323-328 - [c24]Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci:
Transformer Based Generative Adversarial Network for Liver Segmentation. ICIAP Workshops 2022: 340-347 - [c23]Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Umapada Pal, Sharib Ali:
GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation. ICPR 2022: 4321-4327 - [c22]Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård:
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. SAM 2022: 216-220 - [c21]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: 221-225 - [c20]Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci:
Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation. HECKTOR@MICCAI 2022: 107-113 - [c19]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali:
TGANet: Text-Guided Attention for Improved Polyp Segmentation. MICCAI (3) 2022: 151-160 - [i36]Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East:
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR abs/2202.12031 (2022) - [i35]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali:
TGANet: Text-guided attention for improved polyp segmentation. CoRR abs/2205.04280 (2022) - [i34]Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci:
Transformer based Generative Adversarial Network for Liver Segmentation. CoRR abs/2205.10663 (2022) - [i33]Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha:
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CoRR abs/2206.06264 (2022) - [i32]Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CoRR abs/2206.08298 (2022) - [i31]Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha:
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation. CoRR abs/2206.08985 (2022) - [i30]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. CoRR abs/2206.11335 (2022) - [i29]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 abs/2208.03392 (2022) - [i28]Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård:
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. CoRR abs/2208.04704 (2022) - [i27]Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci:
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation. CoRR abs/2208.07417 (2022) - [i26]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. CoRR abs/2210.13595 (2022) - [i25]Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci:
Multi-Scale Fusion Methodologies for Head and Neck Tumor Segmentation. CoRR abs/2210.16704 (2022) - [i24]Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci:
Domain Generalization with Correlated Style Uncertainty. CoRR abs/2212.09950 (2022) - 2021
- [j6]Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen:
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access 9: 40496-40510 (2021) - [j5]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein:
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70: 101920 (2021) - [j4]Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen:
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical Image Anal. 70: 102007 (2021) - [j3]Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler:
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. IEEE J. Biomed. Health Informatics 25(6): 2029-2040 (2021) - [c18]Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. BHI 2021: 1-4 - [c17]Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen:
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CBMS 2021: 37-43 - [c16]Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali:
Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. EndoCV@ISBI 2021: 49-58 - [c15]Steven Hicks, Debesh Jha, Vajira Thambawita, Hugo Hammer, Thomas de Lange, Sravanthi Parasa, Michael Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. MediaEval 2021 - [c14]Saurab Rauniyar, Abhishek Srivastava, Vabesh Kumar Jha, Ritika Kumari Jha, Debesh Jha, Ashish Rauniyar:
Automated Polyp Segmentation in Colonoscopy using MSRFNet. MediaEval 2021 - [c13]Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. MICCAI (1) 2021: 142-152 - [c12]Enrique Garcia-Ceja, Vajira Thambawita, Steven Alexander Hicks, Debesh Jha, Petter Jakobsen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler:
HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. MMM (2) 2021: 196-205 - [c11]Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen:
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. MMM (2) 2021: 218-229 - [e2]Sharib Ali, Noha M. Ghatwary, Debesh Jha, Pål Halvorsen:
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France, April 13, 2021. CEUR Workshop Proceedings 2886, CEUR-WS.org 2021 [contents] - [e1]Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. CEUR Workshop Proceedings 2882, CEUR-WS.org 2021 [contents] - [i23]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. CoRR abs/2101.02268 (2021) - [i22]Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. CoRR abs/2103.17235 (2021) - [i21]Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen:
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CoRR abs/2104.11138 (2021) - [i20]Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. CoRR abs/2105.07451 (2021) - [i19]Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. CoRR abs/2105.08468 (2021) - [i18]Rabindra Khadga, Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen:
Few-shot segmentation of medical images based on meta-learning with implicit gradients. CoRR abs/2106.03223 (2021) - [i17]Sharib Ali, Debesh Jha, Noha M. Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Kim V. Anonsen, Michael A. Riegler, Pål Halvorsen, Jens Rittscher, Thomas de Lange, James E. East:
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. CoRR abs/2106.04463 (2021) - [i16]Debesh Jha, Sharib Ali, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. CoRR abs/2107.02319 (2021) - [i15]Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler:
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation. CoRR abs/2107.12435 (2021) - [i14]Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi, Chris Walsh, Chinedu Innocent Nwoye, Deepak Alapatt, Nicolas Padoy, Zhen-Liang Ni, Chen-Chen Fan, Gui-Bin Bian, Zeng-Guang Hou, Heonjin Ha, Jiacheng Wang, Haojie Wang, Dong Guo, Lu Wang, Guotai Wang, Mobarakol Islam, Bharat Giddwani, Hongliang Ren, Theodoros Pissas, Claudio S. Ravasio, Martin Huber, Jeremy Birch, Joan M. Nunez Do Rio, Lyndon Da Cruz, Christos Bergeles, Hongyu Chen, Fucang Jia, Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Sophia Bano, Uddhav Vaghela, Jianyuan Hong, Haili Ye, Feihong Huang, Da-Han Wang, Danail Stoyanov:
2020 CATARACTS Semantic Segmentation Challenge. CoRR abs/2110.10965 (2021) - [i13]Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Umapada Pal, Sharib Ali:
GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation. CoRR abs/2111.10614 (2021) - [i12]Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Dag Johansen, Umapada Pal:
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. CoRR abs/2111.10618 (2021) - 2020
- [j2]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. ACM Trans. Comput. Heal. 1(3): 17:1-17:29 (2020) - [c10]Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CBMS 2020: 558-564 - [c9]Steven Alexander Hicks, Debesh Jha, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Michael A. Riegler:
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. ICPR Workshops (8) 2020: 263-274 - [c8]Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. ICPR Workshops (8) 2020: 307-314 - [c7]Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar:
Automatic Polyp Segmentation Using U-Net-ResNet50. MediaEval 2020 - [c6]Debesh Jha, Steven Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. MediaEval 2020 - [c5]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen:
Kvasir-SEG: A Segmented Polyp Dataset. MMM (2) 2020: 451-462 - [c4]Vajira Thambawita, Steven Alexander Hicks, Hanna Borgli, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen, Svein Arne Pettersen, Dag Johansen, Håvard Dagenborg Johansen, Susann Dahl Pettersen, Simon Nordvang, Sigurd Pedersen, Anders T. Gjerdrum, Tor-Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc-Tien Dang-Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh C. Jain, Michael Alexander Riegler, Pål Halvorsen:
PMData: a sports logging dataset. MMSys 2020: 231-236 - [c3]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. PDCAT 2020: 285-296 - [i11]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i10]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification. CoRR abs/2005.03912 (2020) - [i9]Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CoRR abs/2006.04868 (2020) - [i8]Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen:
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. CoRR abs/2011.07631 (2020) - [i7]Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen:
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy. CoRR abs/2011.08065 (2020) - [i6]Debesh Jha, Steven Alexander Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. CoRR abs/2012.15244 (2020) - [i5]Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. CoRR abs/2012.15245 (2020) - [i4]Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar:
Automatic Polyp Segmentation using U-Net-ResNet50. CoRR abs/2012.15247 (2020)
2010 – 2019
- 2019
- [c2]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen:
ResUNet++: An Advanced Architecture for Medical Image Segmentation. ISM 2019: 225-230 - [i3]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen:
ResUNet++: An Advanced Architecture for Medical Image Segmentation. CoRR abs/1911.07067 (2019) - [i2]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen:
Kvasir-SEG: A Segmented Polyp Dataset. CoRR abs/1911.07069 (2019) - 2018
- [c1]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. MediaEval 2018 - [i1]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. CoRR abs/1810.13278 (2018) - 2017
- [j1]Debesh Jha, Ji-In Kim, Moo-Rak Choi, Goo-Rak Kwon:
Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier. Comput. Intell. Neurosci. 2017: 4205141:1-4205141:11 (2017)
Coauthor Index
[j12] [j11] [c55] [i74] [i73] [i72] [j10] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [c26] [c25] [c24] [c21] [c20] [c19] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i27] [i26] [i25] [i24]
Steven Alexander Hicks
aka: Steven Hicks
aka: Steven Hicks
Håvard D. Johansen
aka: Håvard Dagenborg Johansen
aka: Håvard Dagenborg Johansen
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