A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation

Authors: Ellis, Edward, Bulpitt, Andrew, Parsa, Nasim, Byrne, Michael F, Ali, Sharib

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2502.02489

Solving the long-tailed distribution problem by exploiting the synergies and balance of different techniques

Authors: Wang, Ziheng, Lassila, Toni, Ali, Sharib

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2501.13756

Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures

Authors: Ellis, Edward, Bulpitt, Andrew, Ali, Sharib

Source: 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS) CBMS Computer-Based Medical Systems (CBMS), 2024 IEEE 37th International Symposium on. :477-482 Jun, 2024

Relation: 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)

Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency

Authors: Teevno, Mansoor Ali, Martinez-Garcia-Pena, Rafael, Ochoa-Ruiz, Gilberto, Ali, Sharib

Source: 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS) CBMS Computer-Based Medical Systems (CBMS), 2024 IEEE 37th International Symposium on. :383-390 Jun, 2024

Relation: 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)

Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis

Authors: Lopez, Alexis, Valencia, Helena, Ochoa-Ruiz, Gilberto, Ali, Sharib

Source: 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS) CBMS Computer-Based Medical Systems (CBMS), 2024 IEEE 37th International Symposium on. :61-68 Jun, 2024

Relation: 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)

NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision

Authors: Pokhrel, Sandesh, Bhandari, Sanjay, Ali, Sharib, Lambrou, Tryphon, Nguyen, Anh, Shrestha, Yash Raj, Watson, Angus, Stoyanov, Danail, Gyawali, Prashnna, Bhattarai, Binod

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2412.01590

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Generative Latent Priors

Authors: Xu, Ziang, Li, Bin, Hu, Yang, Zhang, Chenyu, East, James, Ali, Sharib, Rittscher, Jens

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2411.17790

Tackling domain generalization for out-of-distribution endoscopic imaging

Authors: Teevno, Mansoor Ali, Ochoa-Ruiz, Gilberto, Ali, Sharib

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2410.14821

SSTFB: Leveraging self-supervised pretext learning and temporal self-attention with feature branching for real-time video polyp segmentation

Authors: Xu, Ziang, Rittscher, Jens, Ali, Sharib

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Multimedia

Access URL: http://arxiv.org/abs/2406.10200

SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy

Authors: Martinez-Garcia-Pena, Rafael, Teevno, Mansoor Ali, Ochoa-Ruiz, Gilberto, Ali, Sharib

Source: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 IEEE/CVF Conference on. :285-294 Jun, 2023

Relation: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion

Authors: Ali, Sharib, Espinel, Yamid, Jin, Yueming, Liu, Peng, Güttner, Bianca, Zhang, Xukun, Zhang, Lihua, Dowrick, Tom, Clarkson, Matthew J., Xiao, Shiting, Wu, Yifan, Yang, Yijun, Zhu, Lei, Sun, Dai, Li, Lan, Pfeiffer, Micha, Farid, Shahid, Maier-Hein, Lena, Buc, Emmanuel, Bartoli, Adrien

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Graphics, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2401.15753

GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation

Authors: Srivastava, Abhishek, Chanda, Sukalpa, Jha, Debesh, Pal, Umapada, Ali, Sharib

Source: 2022 26th International Conference on Pattern Recognition (ICPR) Pattern Recognition (ICPR), 2022 26th International Conference on. :4321-4327 Aug, 2022

Relation: 2022 26th International Conference on Pattern Recognition (ICPR)

Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task

Authors: Stone, Rebecca S., Chavarrias-Solano, Pedro E., Bulpitt, Andrew J., Hogg, David C., Ali, Sharib

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2309.06807

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges

Authors: Jha, Debesh, Sharma, Vanshali, Banik, Debapriya, Bhattacharya, Debayan, Roy, Kaushiki, Hicks, Steven A., Tomar, Nikhil Kumar, Thambawita, Vajira, Krenzer, Adrian, Ji, Ge-Peng, Poudel, Sahadev, Batchkala, George, Alam, Saruar, Ahmed, Awadelrahman M. A., Trinh, Quoc-Huy, Khan, Zeshan, Nguyen, Tien-Phat, Shrestha, Shruti, Nathan, Sabari, Gwak, Jeonghwan, Jha, Ritika K., Zhang, Zheyuan, Schlaefer, Alexander, Bhattacharjee, Debotosh, Bhuyan, M. K., Das, Pradip K., Fan, Deng-Ping, Parsa, Sravanthi, Ali, Sharib, Riegler, Michael A., Halvorsen, Pål, De Lange, Thomas, Bagci, Ulas

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2307.16262

Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring

Authors: Xu, Ziang, Ali, Sharib, East, James, Rittscher, Jens

Source: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2022 IEEE 19th International Symposium on. :1-5 Mar, 2022

Relation: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation

Authors: Subedi, Ronast, Gaire, Rebati Raman, Ali, Sharib, Nguyen, Anh, Stoyanov, Danail, Bhattarai, Binod

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2306.08720

SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis

Authors: Xu, Ziang, Rittscher, Jens, Ali, Sharib

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2306.00197

Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures

Authors: Angeles Ceron, Juan Carlos, Chang, Leonardo, Ruiz, Gilberto Ochoa, Ali, Sharib

Source: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Engineering in Medicine & Biology Society (EMBC), 2021 43rd Annual International Conference of the IEEE. :1824-1827 Nov, 2021

Relation: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Why is the winner the best?

Authors: Eisenmann, Matthias, Reinke, Annika, Weru, Vivienn, Tizabi, Minu Dietlinde, Isensee, Fabian, Adler, Tim J., Ali, Sharib, Andrearczyk, Vincent, Aubreville, Marc, Baid, Ujjwal, Bakas, Spyridon, Balu, Niranjan, Bano, Sophia, Bernal, Jorge, Bodenstedt, Sebastian, Casella, Alessandro, Cheplygina, Veronika, Daum, Marie, de Bruijne, Marleen, Depeursinge, Adrien, Dorent, Reuben, Egger, Jan, Ellis, David G., Engelhardt, Sandy, Ganz, Melanie, Ghatwary, Noha, Girard, Gabriel, Godau, Patrick, Gupta, Anubha, Hansen, Lasse, Harada, Kanako, Heinrich, Mattias, Heller, Nicholas, Hering, Alessa, Huaulmé, Arnaud, Jannin, Pierre, Kavur, Ali Emre, Kodym, Oldřich, Kozubek, Michal, Li, Jianning, Li, Hongwei, Ma, Jun, Martín-Isla, Carlos, Menze, Bjoern, Noble, Alison, Oreiller, Valentin, Padoy, Nicolas, Pati, Sarthak, Payette, Kelly, Rädsch, Tim, Rafael-Patiño, Jonathan, Bawa, Vivek Singh, Speidel, Stefanie, Sudre, Carole H., van Wijnen, Kimberlin, Wagner, Martin, Wei, Donglai, Yamlahi, Amine, Yap, Moi Hoon, Yuan, Chun, Zenk, Maximilian, Zia, Aneeq, Zimmerer, David, Aydogan, Dogu Baran, Bhattarai, Binod, Bloch, Louise, Brüngel, Raphael, Cho, Jihoon, Choi, Chanyeol, Dou, Qi, Ezhov, Ivan, Friedrich, Christoph M., Fuller, Clifton, Gaire, Rebati Raman, Galdran, Adrian, Faura, Álvaro García, Grammatikopoulou, Maria, Hong, SeulGi, Jahanifar, Mostafa, Jang, Ikbeom, Kadkhodamohammadi, Abdolrahim, Kang, Inha, Kofler, Florian, Kondo, Satoshi, Kuijf, Hugo, Li, Mingxing, Luu, Minh Huan, Martinčič, Tomaž, Morais, Pedro, Naser, Mohamed A., Oliveira, Bruno, Owen, David, Pang, Subeen, Park, Jinah, Park, Sung-Hong, Płotka, Szymon, Puybareau, Elodie, Rajpoot, Nasir, Ryu, Kanghyun, Saeed, Numan, Shephard, Adam, Shi, Pengcheng, Štepec, Dejan, Subedi, Ronast, Tochon, Guillaume, Torres, Helena R., Urien, Helene, Vilaça, João L., Wahid, Kareem Abdul, Wang, Haojie, Wang, Jiacheng, Wang, Liansheng, Wang, Xiyue, Wiestler, Benedikt, Wodzinski, Marek, Xia, Fangfang, Xie, Juanying, Xiong, Zhiwei, Yang, Sen, Yang, Yanwu, Zhao, Zixuan, Maier-Hein, Klaus, Jäger, Paul F., Kopp-Schneider, Annette, Maier-Hein, Lena

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2303.17719

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy

Authors: Jha, Debesh, Ali, Sharib, Tomar, Nikhil Kumar, Riegler, Michael A., Johansen, Dag, Johansen, Havard D., Halvorsen, Pal

Source: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) Biomedical and Health Informatics (BHI), 2021 IEEE EMBS International Conference on. :1-4 Jul, 2021

Relation: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)