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Sharib Ali

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affiliation: University of Oxford, Department of Engineering Science, UK
affiliation (2015 - 2018): University of Heidelberg, German Cancer Research Center, Germany
affiliation (PhD 2016): University of Lorraine, Nancy, France
affiliation (former): University of Burgundy, Dijon, France

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2020 – today

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2025
[j18]
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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)
[e9]
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Sharib Ali, Fons van der Sommen, Bartlomiej Wladyslaw Papiez, Noha Ghatwary, Yueming Jin, Iris Kolenbrander:
Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15199, Springer 2025, ISBN 978-3-031-73375-8 [contents]
[e8]
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Binod Bhattarai, Sharib Ali, Anita Rau, Razvan Caramalau, Anh Nguyen, Prashnna Gyawali, Ana I. L. Namburete, Danail Stoyanov:
Data Engineering in Medical Imaging - Second MICCAI Workshop, DEMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15265, Springer 2025, ISBN 978-3-031-73747-3 [contents]
2024
[j17]
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Xukun Zhang, Sharib Ali, Tao Liu, Xiao Zhao, Zhiming Cui, Minghao Han, Shuwei Ma, Jingyi Zhu, Yanlan Kang, Le Wang, Xiaoying Wang, Lihua Zhang:
Robust and smooth Couinaud segmentation via anatomical structure-guided point-voxel network. Comput. Biol. Medicine 182: 109202 (2024)
[c53]
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Alexis Lopez, Flor Helena Valencia, Gilberto Ochoa-Ruiz, Sharib Ali:
Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis. CBMS 2024: 61-68
[c52]
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Mansoor Ali Teevno, Rafael Martinez Garcia Peña, Gilberto Ochoa-Ruiz, Sharib Ali:
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency. CBMS 2024: 383-390
[c51]
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Edward Ellis, Andrew J. Bulpitt, Sharib Ali:
Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures. CBMS 2024: 477-482
[c50]
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Carlos Aparicio, Cuauhtémoc Guerrero, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Exploring Anchor-Free Object Detection Models for Surgical Tool Detection: A Comparative Study of Faster-RCNN, YOLOv4, and CenterNet++. MICAI (1) 2024: 222-235
[c49]
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Pedro Esteban Chavarrias-Solano, Binod Bhattarai, Sharib Ali:
Improving NeRF Representation with No Pose Prior for Novel View Synthesis in Colonoscopy. DEMI@MICCAI 2024: 144-154
[c48]
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Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Tackling Domain Generalization for Out-of-Distribution Endoscopic Imaging. MLMI@MICCAI (2) 2024: 43-52
[e7]
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Gilberto Ochoa-Ruiz, Enrico Grisan, Sharib Ali, Rosa Sicilia, Lucía Prieto Santamaría, Bridget Kane, Christian Daul, Gildardo Sánchez-Ante, Alejandro Rodríguez González:
37th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2024, Guadalajara, Mexico, June 26-28, 2024. IEEE 2024, ISBN 979-8-3503-8472-7 [contents]
[i41]
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  - journals/corr/abs-2401-15753
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Sharib Ali, Yamid Espinel, Yueming Jin, Peng Liu, Bianca Güttner, Xukun Zhang, Lihua Zhang, Thomas Dowrick, Matthew J. Clarkson, Shiting Xiao, Yifan Wu, Yijun Yang, Lei Zhu, Dai Sun, Lan Li, Micha Pfeiffer, Shahid Farid, Lena Maier-Hein, Emmanuel Buc, Adrien Bartoli:
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion. CoRR abs/2401.15753 (2024)
[i40]
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  - journals/corr/abs-2406-10200
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Ziang Xu, Jens Rittscher, Sharib Ali:
SSTFB: Leveraging self-supervised pretext learning and temporal self-attention with feature branching for real-time video polyp segmentation. CoRR abs/2406.10200 (2024)
[i39]
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Mansoor Ali Teevno, Rafael Martinez Garcia Peña, Gilberto Ochoa-Ruiz, Sharib Ali:
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency. CoRR abs/2409.12450 (2024)
2023
[j16]
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Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
A semi-supervised Teacher-Student framework for surgical tool detection and localization. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1033-1041 (2023)
[j15]
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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)
[c47]
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Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali:
Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task. CLIP/FAIMI/EPIMI@MICCAI 2023: 153-162
[c46]
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Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. CVPR Workshops 2023: 285-294
[c45]
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Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966
[c44]
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  - conf/miccai/SubediGANSB23
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Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai:
A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation. DEMI@MICCAI 2023: 21-33
[c43]
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  - conf/miccai/ValenciaFCSLOA23
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Flor Helena Valencia, Daniel Flores-Araiza, Obed Cerda, Venkataraman Subramanian, Thomas de Lange, Gilberto Ochoa-Ruiz, Sharib Ali:
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis. CaPTion@MICCAI 2023: 40-51
[c42]
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  - conf/miccai/PyathaXA23
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Ajay Pyatha, Ziang Xu, Sharib Ali:
Vision Transformer-Based Self-supervised Learning for Ulcerative Colitis Grading in Colonoscopy. DEMI@MICCAI 2023: 102-110
[c41]
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Xukun Zhang, Yang Liu, Sharib Ali, Xiao Zhao, Mingyang Sun, Minghao Han, Tao Liu, Peng Zhai, Zhiming Cui, Peixuan Zhang, Xiaoying Wang, Lihua Zhang:
Anatomical-Aware Point-Voxel Network for Couinaud Segmentation in Liver CT. MICCAI (3) 2023: 465-474
[e6]
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Sharib Ali, Fons van der Sommen, Maureen van Eijnatten, Bartlomiej W. Papiez, Yueming Jin, Iris Kolenbrander:
Cancer Prevention Through Early Detection - Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14295, Springer 2023, ISBN 978-3-031-45349-6 [contents]
[e5]
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Binod Bhattarai, Sharib Ali, Anita Rau, Anh Nguyen, Ana I. L. Namburete, Razvan Caramalau, Danail Stoyanov:
Data Engineering in Medical Imaging - First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14314, Springer 2023, ISBN 978-3-031-44991-8 [contents]
[i38]
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  - journals/corr/abs-2303-17719
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Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023)
[i37]
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  - journals/corr/abs-2306-00197
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Ziang Xu, Jens Rittscher, Sharib Ali:
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis. CoRR abs/2306.00197 (2023)
[i36]
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  - journals/corr/abs-2306-08720
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Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai:
A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation. CoRR abs/2306.08720 (2023)
[i35]
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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)
[i34]
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  - journals/corr/abs-2309-06807
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Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali:
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task. CoRR abs/2309.06807 (2023)
[i33]
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  - journals/corr/abs-2311-18664
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Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, Venkataraman Subramanian, Sharib Ali:
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy. CoRR abs/2311.18664 (2023)
2022
[j14]
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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)
[j13]
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Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher:
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. Comput. Medical Imaging Graph. 101: 102112 (2022)
[j12]
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Juan Carlos Angeles Ceron, Gilberto Ochoa Ruiz, Leonardo Chang, Sharib Ali:
Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion. Medical Image Anal. 81: 102569 (2022)
[j11]
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Sharib Ali:
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions. npj Digit. Medicine 5 (2022)
[j10]
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  - journals/titb/SrivastavaJCPJJ22
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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)
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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
[c39]
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  - conf/isbi/XuAER22
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Ziang Xu, Sharib Ali, James E. East, Jens Rittscher:
Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring. ISBI 2022: 1-5
[c38]
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Sharib Ali, Noha M. Ghatwary:
Endoscopic computer vision challenges 2.0. EndoCV@ISBI 2022: 5-8
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Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques. MICAI (1) 2022: 327-338
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Ziang Xu, Sharib Ali, Numan Celik, Adam Bailey, Barbara Braden, Jens Rittscher:
Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance. CaPTion@MICCAI 2022: 14-23
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Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection. CaPTion@MICCAI 2022: 67-76
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Ziang Xu, Sharib Ali, Soumya Gupta, Simon Leedham, James E. East, Jens Rittscher:
Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring. MLMI@MICCAI 2022: 101-110
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Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali:
TGANet: Text-Guided Attention for Improved Polyp Segmentation. MICCAI (3) 2022: 151-160
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Soumya Gupta, Sharib Ali, Ziang Xu, Binod Bhattarai, Ben Turney, Jens Rittscher:
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation. MLMI@MICCAI 2022: 161-170
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Sharib Ali, Noha M. Ghatwary:
Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), Kolkata, India, March 28, 2022. CEUR Workshop Proceedings 3148, CEUR-WS.org 2022 [contents]
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Sharib Ali, Fons van der Sommen, Bartlomiej Wladyslaw Papiez, Maureen A. J. M. van Eijnatten, Yueming Jin, Iris Kolenbrander:
Cancer Prevention Through Early Detection - First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13581, Springer 2022, ISBN 978-3-031-17978-5 [contents]
[i32]
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  - journals/corr/abs-2202-12031
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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)
[i31]
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Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali:
TGANet: Text-guided attention for improved polyp segmentation. CoRR abs/2205.04280 (2022)
[i30]
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  - journals/corr/abs-2207-05192
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Ziang Xu, Sharib Ali, Soumya Gupta, Simon Leedham, James E. East, Jens Rittscher:
Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring. CoRR abs/2207.05192 (2022)
[i29]
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Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Knowledge distillation with a class-aware loss for endoscopic disease detection. CoRR abs/2207.09530 (2022)
[i28]
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Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
A semi-supervised Teacher-Student framework for surgical tool detection and localization. CoRR abs/2208.09926 (2022)
[i27]
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  - journals/corr/abs-2209-01435
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Mansoor Ali, Rafael Martinez Garcia Peña, Gilberto Ochoa Ruiz, Sharib Ali:
A comprehensive survey on recent deep learning-based methods applied to surgical data. CoRR abs/2209.01435 (2022)
[i26]
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Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. CoRR abs/2211.04658 (2022)
[i25]
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Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022)
2021
[j9]
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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)
[j8]
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Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher:
A deep learning framework for quality assessment and restoration in video endoscopy. Medical Image Anal. 68: 101900 (2021)
[j7]
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Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher:
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. 70: 102002 (2021)
[j6]
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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)
[c31]
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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
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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
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Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa Ruiz, Sharib Ali:
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures. EMBC 2021: 1824-1827
[c28]
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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
[c27]
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Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher:
EndoUDA: A Modality Independent Segmentation Approach for Endoscopy Imaging. MICCAI (3) 2021: 303-312
[c26]
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Ziang Xu, Sharib Ali, Soumya Gupta, Numan Celik, Jens Rittscher:
Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning. MIUA 2021: 87-97
[c25]
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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
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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]
[i24]
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Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa-Ruiz, Sharib Ali:
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures. CoRR abs/2103.15997 (2021)
[i23]
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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)
[i22]
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Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher:
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. CoRR abs/2104.01268 (2021)
[i21]
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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]
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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]
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  - journals/corr/abs-2106-03223
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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)
[i18]
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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)
[i17]
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  - journals/corr/abs-2107-02319
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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)
[i16]
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Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher:
EndoUDA: A modality independent segmentation approach for endoscopy imaging. CoRR abs/2107.05342 (2021)
[i15]
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  - journals/corr/abs-2111-04911
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Juan Carlos Angeles Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang, Sharib Ali:
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion. CoRR abs/2111.04911 (2021)
[i14]
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  - journals/corr/abs-2111-10614
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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)
2020
[c24]
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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
[c23]
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Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher:
MI-UNet: Improved Segmentation in Ureteroscopy. ISBI 2020: 212-216
[c22]
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  - conf/mediaeval/BatchkalaA20
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George Batchkala, Sharib Ali:
Real-Time Polyp Segmentation Using U-Net with IoU Loss. MediaEval 2020
[c21]
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Shruti Shrestha, Bishesh Khanal, Sharib Ali:
Ensemble U-Net Model for Efficient Polyp Segmentation. MediaEval 2020
[c20]
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Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher:
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. MLMI@MICCAI 2020: 494-503
[c19]
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Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher:
Motion induced segmentation of stone fragments in ureteroscopy video. Medical Imaging: Image-Guided Procedures 2020: 1131514
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Sharib Ali, Christian Daul, Jens Rittscher, Danail Stoyanov, Enrico Grisan:
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, EndoCV@ISBI 2020, Iowa City, Iowa, USA, 3rd April 2020. CEUR Workshop Proceedings 2595, CEUR-WS.org 2020 [contents]
[i13]
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Sharib Ali, Noha M. Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, James E. East:
Endoscopy disease detection challenge 2020. CoRR abs/2003.03376 (2020)
[i12]
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  - journals/corr/abs-2003-10033
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Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher:
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. CoRR abs/2003.10033 (2020)
[i11]
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  - journals/corr/abs-2010-06034
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Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher:
A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR abs/2010.06034 (2020)
[i10]
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  - journals/corr/abs-2011-07631
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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)
[i9]
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  - journals/corr/abs-2011-08065
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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)
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  - journals/corr/abs-2012-05316
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Numan Celik, Soumya Gupta, Sharib Ali, Jens Rittscher:
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation. CoRR abs/2012.05316 (2020)
[i7]
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  - journals/corr/abs-2012-15245
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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)

2010 – 2019

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2019
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Sharib Ali, Jens Rittscher:
Efficient Video Indexing for Monitoring Disease Activity and Progression in the Upper Gastrointestinal Tract. ISBI 2019: 91-95
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Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher:
Ink Removal from Histopathology Whole Slide Images by Combining Classification, Detection and Image Generation Models. ISBI 2019: 928-932
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Sharib Ali, Jens Rittscher:
Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping. MLMI@MICCAI 2019: 489-497
[i6]
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  - journals/corr/abs-1904-07073
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Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher:
A deep learning framework for quality assessment and restoration in video endoscopy. CoRR abs/1904.07073 (2019)
[i5]
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  - journals/corr/abs-1905-03209
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Sharib Ali, Felix Zhou, Christian Daul, Barbara Braden, Adam Bailey, Stefano Realdon, James E. East, Georges Wagnières, Victor Loschenov, Enrico Grisan, Walter Blondel, Jens Rittscher:
Endoscopy artifact detection (EAD 2019) challenge dataset. CoRR abs/1905.03209 (2019)
[i4]
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  - journals/corr/abs-1905-04384
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Sharib Ali, Jens Rittscher:
Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract. CoRR abs/1905.04384 (2019)
[i3]
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  - journals/corr/abs-1905-04385
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Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher:
Ink removal from histopathology whole slide images by combining classification, detection and image generation models. CoRR abs/1905.04385 (2019)
[i2]
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  - journals/corr/abs-1908-06194
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Sharib Ali, Jens Rittscher:
Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping. CoRR abs/1908.06194 (2019)
2018
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Sharib Ali, Stefan Wörz, Katrin Amunts, Roland Eils, Markus Axer, Karl Rohr:
Rigid and non-rigid registration of polarized light imaging data for 3D reconstruction of the temporal lobe of the human brain at micrometer resolution. NeuroImage 181: 235-251 (2018)
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Sharib Ali, Dehui Lin, Markus Axer, Karl Rohr:
Comparison of Self-similarity Measures for Multi-modal Non-rigid Registration of 3D-PLI Brain Images. Bildverarbeitung für die Medizin 2018: 49-54
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Sharib Ali, Markus Axer, Katrin Amunts, Roland Eils, Karl Rohr:
Evaluating local features in high-resolution 3D-PLI data. ISBI 2018: 729-733
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Sharib Ali, Katrin Amunts, Roland Eils, Markus Axer, Karl Rohr:
Scale-bundle spline-based non-rigid registration for handling fissures. ISBI 2018: 762-765
[c12]
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Sharib Ali, Martin Schober, Philipp Schlömer, Katrin Amunts, Markus Axer, Karl Rohr:
Towards Ultra-High Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data. CNI@MICCAI 2018: 1-10
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  - journals/corr/abs-1807-11080
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Sharib Ali, Martin Schober, Philipp Schlömer, Katrin Amunts, Markus Axer, Karl Rohr:
Towards ultra-high resolution 3D reconstruction of a whole rat brain from 3D-PLI data. CoRR abs/1807.11080 (2018)
2017
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Sharib Ali, Karl Rohr, David Gräßel, Philipp Schlömer, Katrin Amunts, Roland Eils, Markus Axer, Stefan Wörz:
Spline-Based Multimodal Image Registration of 3D PLI Data of the Human Brain. Bildverarbeitung für die Medizin 2017: 268-273
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Sharib Ali, Karl Rohr, Markus Axer, Katrin Amunts, Roland Eils, Stefan Wörz:
Registration of ultra-high resolution 3D PLI data of human brain sections to their corresponding high-resolution counterpart. ISBI 2017: 415-419
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Sharib Ali, Karl Rohr, Markus Axer, David Gräßel, Philipp Schlömer, Katrin Amunts, Roland Eils, Stefan Wörz:
Elastic registration of high-resolution 3D PLI data of the human brain. ISBI 2017: 1151-1155
2016
[b1]
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Sharib Ali:
Total variational optical flow for robust and accurate bladder image mosaicing. (Calcul du flot optique dans une approache variationnelle totale pour le mosaîquage robuste et précis d'images de vessie). University of Lorraine, Nancy, France, 2016
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Sharib Ali, Christian Daul, Ernest Galbrun, Walter Blondel:
Illumination invariant optical flow using neighborhood descriptors. Comput. Vis. Image Underst. 145: 95-110 (2016)
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Sharib Ali, Christian Daul, Ernest Galbrun, François Guillemin, Walter Blondel:
Anisotropic motion estimation on edge preserving Riesz wavelets for robust video mosaicing. Pattern Recognit. 51: 425-442 (2016)
2015
[c8]
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Sharib Ali, Khuram Faraz, Christian Daul, Walter Blondel:
Optical flow with structure information for epithelial image mosaicing. EMBC 2015: 1981-1984
[c7]
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Sharib Ali, Christian Daul, Ernest Galbrun, Marine Amouroux, François Guillemin, Walter Blondel:
Robust bladder image registration by redefining data-term in total variational approach. Medical Imaging: Image Processing 2015: 94131H
2014
[j2]
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  - journals/cmpb/AdalSACKM14
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Kedir M. Adal, Désiré Sidibé, Sharib Ali, Edward Chaum, Thomas P. Karnowski, Fabrice Mériaudeau:
Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning. Comput. Methods Programs Biomed. 114(1): 1-10 (2014)
[c6]
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Sharib Ali, Christian Daul, Walter Blondel:
Robust and accurate optical flow estimation for weak texture and varying illumination conditions: Application to cystoscopy. IPTA 2014: 140-145
2013
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Sharib Ali, Desire Sidibé, Kedir M. Adal, Luca Giancardo, Edward Chaum, Thomas P. Karnowski, Fabrice Mériaudeau:
Statistical atlas based exudate segmentation. Comput. Medical Imaging Graph. 37(5-6): 358-368 (2013)
[c5]
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Sharib Ali, Christian Daul, Thomas Weibel, Walter Blondel:
Fast mosaicing of cystoscopic images from dense correspondence: Combined SURF and TV-L1 optical flow method. ICIP 2013: 1291-1295
[c4]
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Sharib Ali, Kedir M. Adal, Desire Sidibé, Thomas P. Karnowski, Edward Chaum, Fabrice Mériaudeau:
Exudate segmentation on retinal atlas space. ISPA 2013: 700-704
[c3]
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Kedir M. Adal, Sharib Ali, Désiré Sidibé, Thomas P. Karnowski, Edward Chaum, Fabrice Mériaudeau:
Automated detection of microaneurysms using robust blob descriptors. Medical Imaging: Computer-Aided Diagnosis 2013: 86700N
[c2]
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Sharib Ali, Kedir M. Adal, Désiré Sidibé, Edward Chaum, Thomas P. Karnowski, Fabrice Mériaudeau:
Steerable wavelet transform for atlas based retinal lesion segmentation. Medical Imaging: Image Processing 2013: 86693D
2012
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Bishesh Khanal, Sharib Ali, Desire Sidibé:
Robust Road Signs Segmentation in Color Images. VISAPP (1) 2012: 307-310

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