Sharib Ali

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 96

Top Venues

University of Lorraine, Nancy, France (PHD)

Education History

University of Lorraine, Nancy, France

PHD

Publications

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)
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 (2024)
Edward Ellis, Andrew J. Bulpitt, Sharib Ali
Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures. CBMS (2024)
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 (2024)
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)
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)
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)
Ajay Pyatha, Ziang Xu, Sharib Ali
Vision Transformer-Based Self-supervised Learning for Ulcerative Colitis Grading in Colonoscopy. DEMI@MICCAI (2023)
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)
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 (2023)
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)
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)
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) (2023)
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) (2023)
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, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. 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, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. 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)
Ziang Xu, Jens Rittscher, Sharib Ali
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis. CoRR (2023)
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 (2023)
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 (2023)
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 Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias 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, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
Why is the winner the best? CoRR (2023)
Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR (2023)
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)
Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
A semi-supervised Teacher-Student framework for surgical tool detection and localization. CoRR (2022)
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 (2022)
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 (2022)
Sharib Ali, Noha M. Ghatwary
Endoscopic computer vision challenges 2.0. EndoCV@ISBI (2022)
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 (2022)
Sharib Ali
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions. npj Digit. Medicine 5 (2022)
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, 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 (2022)
Mansoor Ali, Rafael Martinez Garcia Pena, Gilberto Ochoa Ruiz, Sharib Ali
A comprehensive survey on recent deep learning-based methods applied to surgical data. CoRR (2022)
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) (2022)
Ziang Xu, Sharib Ali, James E. East, Jens Rittscher
Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring. ISBI (2022)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali
TGANet: Text-guided attention for improved polyp segmentation. CoRR (2022)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali
TGANet: Text-Guided Attention for Improved Polyp Segmentation. MICCAI (3) (2022)
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 (2022)
Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
Knowledge distillation with a class-aware loss for endoscopic disease detection. CoRR (2022)
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)
Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. CoRR (2022)
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)
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 (2022)
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)
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)
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)
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)
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)
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 (2021)
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)
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 (2021)
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 (2021)
Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali
Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. EndoCV@ISBI (2021)
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 (2021)
Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. CoRR (2021)
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 (2021)
Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher
EndoUDA: A modality independent segmentation approach for endoscopy imaging. CoRR (2021)
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 (2021)
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 (2021)
Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher
EndoUDA: A Modality Independent Segmentation Approach for Endoscopy Imaging. MICCAI (3) (2021)
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 (2021)
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 (2021)
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)
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 (2021)
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 (2021)
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 (2021)
Ziang Xu, Sharib Ali, Soumya Gupta, Numan Celik, Jens Rittscher
Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning. MIUA (2021)
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 (2021)
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 (2020)
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 (2020)
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)
Shruti Shrestha, Bishesh Khanal, Sharib Ali
Ensemble U-Net Model for Efficient Polyp Segmentation. MediaEval (2020)
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 (2020)
Numan Celik, Soumya Gupta, Sharib Ali, Jens Rittscher
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation. CoRR (2020)
Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. MLMI@MICCAI (2020)
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)
Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. CoRR (2020)
Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag D. Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. CoRR (2020)
Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
MI-UNet: Improved Segmentation in Ureteroscopy. ISBI (2020)
George Batchkala, Sharib Ali
Real-Time Polyp Segmentation Using U-Net with IoU Loss. MediaEval (2020)
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 (2020)
Sharib Ali, Jens Rittscher
Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping. MLMI@MICCAI (2019)
Sharib Ali, Jens Rittscher
Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping. CoRR (2019)
Sharib Ali, Jens Rittscher
Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract. CoRR (2019)
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)
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 (2019)
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 (2019)
Sharib Ali, Jens Rittscher
Efficient Video Indexing for Monitoring Disease Activity and Progression in the Upper Gastrointestinal Tract. ISBI (2019)
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 (2019)
Sharib Ali, Katrin Amunts, Roland Eils, Markus Axer, Karl Rohr
Scale-bundle spline-based non-rigid registration for handling fissures. ISBI (2018)
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 (2018)
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)
Sharib Ali, Markus Axer, Katrin Amunts, Roland Eils, Karl Rohr
Evaluating local features in high-resolution 3D-PLI data. ISBI (2018)
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)
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 (2018)
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)
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)
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)
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 (2016)
Sharib Ali, Christian Daul, Ernest Galbrun, Walter Blondel
Illumination invariant optical flow using neighborhood descriptors. Comput. Vis. Image Underst. 145 (2016)
Sharib Ali, Khuram Faraz, Christian Daul, Walter Blondel
Optical flow with structure information for epithelial image mosaicing. EMBC (2015)
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)
Sharib Ali, Christian Daul, Walter Blondel
Robust and accurate optical flow estimation for weak texture and varying illumination conditions: Application to cystoscopy. IPTA (2014)
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) (2014)

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Sharib Ali