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2020 – today
- 2025
[j20]Long Bai, Guankun Wang, Mobarakol Islam, Lalithkumar Seenivasan, An Wang, Hongliang Ren:
Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery. Inf. Fusion 113: 102602 (2025)- 2024
- [j19]Beilei Cui, Mobarakol Islam, Long Bai, Hongliang Ren
:
Surgical-DINO: adapter learning of foundation models for depth estimation in endoscopic surgery. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1013-1020 (2024) - [j18]Zhehua Mao, Adrito Das, Mobarakol Islam, Danyal Z. Khan, Simon C. Williams, John G. Hanrahan, Anouk Borg, Neil L. Dorward, Matthew J. Clarkson, Danail Stoyanov, Hani J. Marcus, Sophia Bano:
PitSurgRT: real-time localization of critical anatomical structures in endoscopic pituitary surgery. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1053-1060 (2024) - [j17]Yuyang Sheng, Sophia Bano, Matthew J. Clarkson, Mobarakol Islam:
Surgical-DeSAM: decoupling SAM for instrument segmentation in robotic surgery. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1267-1271 (2024) - [j16]Anita Rau, Sophia Bano, Yueming Jin, Pablo Azagra, Javier Morlana, Rawen Kader, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, Laurence B. Lovat, José M. M. Montiel, Danail Stoyanov:
SimCol3D - 3D reconstruction during colonoscopy challenge. Medical Image Anal. 96: 103195 (2024) - [j15]Mengya Xu, Mobarakol Islam, Ben Glocker, Hongliang Ren:
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding. IEEE Trans Autom. Sci. Eng. 21(3): 3170-3181 (2024) - [j14]An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren:
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation. IEEE Trans Autom. Sci. Eng. 21(3): 4340-4352 (2024) - [j13]Mengya Xu, Mobarakol Islam, Long Bai, Hongliang Ren:
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery. IEEE Trans. Medical Imaging 43(6): 2291-2302 (2024) - [c37]Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. ICRA 2024: 10772-10778 - [c36]Long Bai, Guankun Wang, Jie Wang, Xiaoxiao Yang, Huxin Gao, Xin Liang, An Wang, Mobarakol Islam, Hongliang Ren:
OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery. ICRA 2024: 14622-14629 - [c35]Qiaozhi Tan, Long Bai, Guankun Wang, Mobarakol Islam, Hongliang Ren:
Endoood: Uncertainty-Aware Out-of-Distribution Detection in Capsule Endoscopy Diagnosis. ISBI 2024: 1-5 - [c34]Yiming Huang, Beilei Cui, Long Bai, Ziqi Guo, Mengya Xu, Mobarakol Islam, Hongliang Ren:
Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting. MICCAI (6) 2024: 197-207 - [c33]Beilei Cui, Mobarakol Islam, Long Bai, An Wang, Hongliang Ren:
EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera. MICCAI (6) 2024: 208-218 - [c32]Long Bai, Tong Chen, Qiaozhi Tan, Wan Jun Nah, Yanheng Li, Zhicheng He, Sishen Yuan, Zhen Chen, Jinlin Wu, Mobarakol Islam, Zhen Li, Hongbin Liu, Hongliang Ren:
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy. MICCAI (7) 2024: 296-306 - [c31]Runlong He, Mengya Xu, Adrito Das, Danyal Z. Khan, Sophia Bano, Hani J. Marcus, Danail Stoyanov, Matthew J. Clarkson, Mobarakol Islam:
PitVQA: Image-Grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery. MICCAI (6) 2024: 488-498 - [e2]Lisa M. Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang:
Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14293, Springer 2024, ISBN 978-3-031-45856-9 [contents] - [i56]Beilei Cui, Mobarakol Islam, Long Bai, Hongliang Ren:
Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery. CoRR abs/2401.06013 (2024) - [i55]Mengya Xu, Mobarakol Islam, Long Bai, Hongliang Ren:
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery. CoRR abs/2402.05860 (2024) - [i54]Long Bai, Guankun Wang, Jie Wang, Xiaoxiao Yang, Huxin Gao, Xin Liang, An Wang, Mobarakol Islam, Hongliang Ren:
OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery. CoRR abs/2402.06985 (2024) - [i53]Qiaozhi Tan, Long Bai, Guankun Wang, Mobarakol Islam, Hongliang Ren:
EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis. CoRR abs/2402.11476 (2024) - [i52]Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. CoRR abs/2402.16664 (2024) - [i51]Yuyang Sheng, Sophia Bano, Matthew J. Clarkson, Mobarakol Islam:
Surgical-DeSAM: Decoupling SAM for Instrument Segmentation in Robotic Surgery. CoRR abs/2404.14040 (2024) - [i50]Beilei Cui, Mobarakol Islam, Long Bai, An Wang, Hongliang Ren:
EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera. CoRR abs/2405.08672 (2024) - [i49]Long Chen, Mobarakol Islam, Matthew J. Clarkson, Thomas Dowrick:
Illumination Histogram Consistency Metric for Quantitative Assessment of Video Sequences. CoRR abs/2405.09716 (2024) - [i48]Guankun Wang, Long Bai, Wan Jun Nah, Jie Wang, Zhaoxi Zhang, Zhen Chen, Jinlin Wu, Mobarakol Islam, Hongbin Liu, Hongliang Ren:
Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery. CoRR abs/2405.10948 (2024) - [i47]Runlong He, Mengya Xu, Adrito Das, Danyal Z. Khan, Sophia Bano, Hani J. Marcus, Danail Stoyanov, Matthew J. Clarkson, Mobarakol Islam:
PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery. CoRR abs/2405.13949 (2024) - [i46]Long Bai, Qiaozhi Tan, Tong Chen, Wan Jun Nah, Yanheng Li, Zhicheng He, Sishen Yuan, Zhen Chen, Jinlin Wu, Mobarakol Islam, Zhen Li, Hongbin Liu, Hongliang Ren:
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy. CoRR abs/2406.13705 (2024) - [i45]Jieming Yu, An Wang, Wenzhen Dong, Mengya Xu, Mobarakol Islam, Jie Wang, Long Bai, Hongliang Ren:
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation. CoRR abs/2408.04593 (2024) - [i44]Long Bai, Guankun Wang, Mobarakol Islam, Lalithkumar Seenivasan, An Wang, Hongliang Ren:
Surgical-VQLA++: Adversarial Contrastive Learning for Calibrated Robust Visual Question-Localized Answering in Robotic Surgery. CoRR abs/2408.04958 (2024) - [i43]Mona Sheikh Zeinoddin, Chiara Lena, Jiongqi Qu, Luca Carlini, Mattia Magro, Seunghoi Kim, Elena De Momi, Sophia Bano, Matthew Grech-Sollars, Evangelos B. Mazomenos, Daniel C. Alexander, Danail Stoyanov, Matthew J. Clarkson, Mobarakol Islam:
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model. CoRR abs/2408.17433 (2024) - 2023
- [j12]Lalithkumar Seenivasan, Mobarakol Islam, Mengya Xu, Chwee Ming Lim, Hongliang Ren:
Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding. Int. J. Comput. Assist. Radiol. Surg. 18(5): 921-928 (2023) - [j11]Mobarakol Islam, Lalithkumar Seenivasan, S. P. Sharan, V. K. Viekash, Bhavesh Gupta, Ben Glocker, Hongliang Ren:
Paced-curriculum distillation with prediction and label uncertainty for image segmentation. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1875-1883 (2023) - [j10]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Anal. 86: 102803 (2023) - [c30]Long Bai, Mobarakol Islam, Lalithkumar Seenivasan, Hongliang Ren:
Surgical-VQLA:Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery. ICRA 2023: 6859-6865 - [c29]An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren:
Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis. IROS 2023: 4608-4614 - [c28]Long Bai, Tong Chen, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren:
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion. MICCAI (10) 2023: 34-44 - [c27]An Wang, Mengya Xu, Yang Zhang, Mobarakol Islam, Hongliang Ren:
S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation. MICCAI (1) 2023: 35-45 - [c26]Long Bai, Mobarakol Islam, Hongliang Ren:
Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery. MICCAI (9) 2023: 68-78 - [c25]Mobarakol Islam, Zeju Li, Ben Glocker:
Robustness Stress Testing in Medical Image Classification. UNSURE@MICCAI 2023: 167-176 - [c24]An Wang, Mobarakol Islam, Mengya Xu, Yang Zhang, Hongliang Ren:
SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 234-244 - [c23]Lalithkumar Seenivasan, Mobarakol Islam, Gokul Kannan, Hongliang Ren:
SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery. MICCAI (9) 2023: 281-290 - [c22]Long Bai, Mobarakol Islam, Hongliang Ren:
CAT-ViL: Co-attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery. MICCAI (9) 2023: 397-407 - [i42]Mobarakol Islam, Lalithkumar Seenivasan, S. P. Sharan, V. K. Viekash, Bhavesh Gupta, Ben Glocker, Hongliang Ren:
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation. CoRR abs/2302.01049 (2023) - [i41]Lalithkumar Seenivasan, Mobarakol Islam, Gokul Kannan, Hongliang Ren:
SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery. CoRR abs/2304.09974 (2023) - [i40]An Wang, Mobarakol Islam, Mengya Xu, Yang Zhang, Hongliang Ren:
SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective. CoRR abs/2304.14674 (2023) - [i39]Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Innocent Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo M. Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saeed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack H. Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc:
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. CoRR abs/2305.07152 (2023) - [i38]Long Bai, Mobarakol Islam, Lalithkumar Seenivasan, Hongliang Ren:
Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery. CoRR abs/2305.11692 (2023) - [i37]An Wang, Mengya Xu, Yang Zhang, Mobarakol Islam, Hongliang Ren:
S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation. CoRR abs/2306.00451 (2023) - [i36]An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren:
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation. CoRR abs/2306.03511 (2023) - [i35]An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren:
Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis. CoRR abs/2306.16285 (2023) - [i34]Long Bai, Tong Chen, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren:
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion. CoRR abs/2307.02452 (2023) - [i33]Long Bai, Mobarakol Islam, Hongliang Ren:
CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery. CoRR abs/2307.05182 (2023) - [i32]Anita Rau, Sophia Bano, Yueming Jin, Pablo Azagra, Javier Morlana, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, José M. M. Montiel, Danail Stoyanov:
SimCol3D - 3D Reconstruction during Colonoscopy Challenge. CoRR abs/2307.11261 (2023) - [i31]Long Bai, Mobarakol Islam, Hongliang Ren:
Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery. CoRR abs/2307.12045 (2023) - [i30]Tianhang Liu, Hechen Li, Long Bai, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren:
Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation. CoRR abs/2308.02845 (2023) - [i29]Mobarakol Islam, Zeju Li, Ben Glocker:
Robustness Stress Testing in Medical Image Classification. CoRR abs/2308.06889 (2023) - [i28]An Wang, Mobarakol Islam, Mengya Xu, Yang Zhang, Hongliang Ren:
SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation. CoRR abs/2308.07156 (2023) - 2022
- [j9]Seshasayi Rangaraj, Mobarakol Islam, Vibashan VS, Navodini Wijethilake, Utkarsh Uppal, Angela An Qi See, Jasmine Chan, Michael Lucas James, Nicolas Kon Kam King, Hongliang Ren:
Identifying risk factors of intracerebral hemorrhage stability using explainable attention model. Medical Biol. Eng. Comput. 60(2): 337-348 (2022) - [j8]Seenivasan Lalithkumar, Sai Mitheran, Mobarakol Islam, Hongliang Ren:
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding. IEEE Robotics Autom. Lett. 7(2): 3858-3865 (2022) - [j7]Winnie Pang, Mobarakol Islam, Sai Mitheran, Lalithkumar Seenivasan, Mengya Xu, Hongliang Ren:
Rethinking Feature Extraction: Gradient-Based Localized Feature Extraction for End-To-End Surgical Downstream Tasks. IEEE Robotics Autom. Lett. 7(4): 12623-12630 (2022) - [c21]Mobarakol Islam, Ben Glocker:
Frequency Dropout: Feature-Level Regularization via Randomized Filtering. ECCV Workshops (3) 2022: 281-295 - [c20]Lalithkumar Seenivasan, Mobarakol Islam, Adithya K. Krishna, Hongliang Ren:
Surgical-VQA: Visual Question Answering in Surgical Scenes Using Transformer. MICCAI (8) 2022: 33-43 - [c19]An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren:
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need. MICCAI (8) 2022: 355-364 - [c18]Mengya Xu, Mobarakol Islam, Hongliang Ren:
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches. MICCAI (8) 2022: 376-386 - [c17]Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker:
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. MICCAI (8) 2022: 693-703 - [c16]Bohua Peng, Mobarakol Islam, Mei Tu:
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration. ACM Multimedia 2022: 979-987 - [e1]Konstantinos Kamnitsas, Lisa M. Koch, Mobarakol Islam, Ziyue Xu, Manuel Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios A. Tsaftaris:
Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13542, Springer 2022, ISBN 978-3-031-16851-2 [contents] - [d1]An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren:
OneToMany_ToolSynSeg. IEEE DataPort, 2022
- [i27]Seenivasan Lalithkumar, Sai Mitheran, Mobarakol Islam, Hongliang Ren:
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding. CoRR abs/2201.11957 (2022) - [i26]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. CoRR abs/2204.04746 (2022) - [i25]Mobarakol Islam, N. Rajiv Vaidyanathan, V. Jeya Maria Jose, Hongliang Ren:
Ischemic Stroke Lesion Segmentation Using Adversarial Learning. CoRR abs/2204.04993 (2022) - [i24]Mobarakol Islam, Hongliang Ren:
Class Balanced PixelNet for Neurological Image Segmentation. CoRR abs/2204.11048 (2022) - [i23]Lalithkumar Seenivasan, Mobarakol Islam, Adithya K. Krishna, Hongliang Ren:
Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer. CoRR abs/2206.11053 (2022) - [i22]An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren:
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need. CoRR abs/2206.11804 (2022) - [i21]Mengya Xu, Mobarakol Islam, Hongliang Ren:
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches. CoRR abs/2207.00113 (2022) - [i20]Bohua Peng, Mobarakol Islam, Mei Tu:
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration. CoRR abs/2207.08525 (2022) - [i19]Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker:
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores. CoRR abs/2207.09957 (2022) - [i18]Mobarakol Islam, Ben Glocker:
Frequency Dropout: Feature-Level Regularization via Randomized Filtering. CoRR abs/2209.09844 (2022) - [i17]Bohua Peng, Shihao Liang, Mobarakol Islam:
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts. CoRR abs/2210.14463 (2022) - [i16]Lalithkumar Seenivasan, Mobarakol Islam, Mengya Xu, Chwee Ming Lim, Hongliang Ren:
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding. CoRR abs/2211.15327 (2022) - [i15]Mengya Xu, Mobarakol Islam, Ben Glocker, Hongliang Ren:
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding. CoRR abs/2212.11511 (2022) - 2021
- [j6]Navodini Wijethilake, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, Mobarakol Islam, Hongliang Ren:
Glioma Survival Analysis Empowered With Data Engineering - A Survey. IEEE Access 9: 43168-43191 (2021) - [j5]Mobarakol Islam, Navodini Wijethilake, Hongliang Ren:
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction. Comput. Medical Imaging Graph. 91: 101906 (2021) - [j4]Mobarakol Islam, Vibashan VS, Chwee Ming Lim, Hongliang Ren:
ST-MTL: Spatio-Temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery. Medical Image Anal. 67: 101837 (2021) - [c15]Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren:
Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery. ICRA 2021: 12350-12356 - [c14]Mobarakol Islam, Ben Glocker:
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations. IPMI 2021: 677-688 - [c13]Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren:
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation. MICCAI (4) 2021: 269-278 - [i14]Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren:
Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery. CoRR abs/2103.17120 (2021) - [i13]Mobarakol Islam, V. Jeya Maria Jose, Hongliang Ren:
Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information. CoRR abs/2104.00980 (2021) - [i12]Mobarakol Islam, Vibashan VS, V. Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren:
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet. CoRR abs/2104.00985 (2021) - [i11]Mobarakol Islam, Navodini Wijethilake, Hongliang Ren:
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction. CoRR abs/2104.01149 (2021) - [i10]Mobarakol Islam, Ben Glocker:
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations. CoRR abs/2104.05788 (2021) - [i9]Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren:
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation. CoRR abs/2107.11091 (2021) - [i8]Mobarakol Islam, Seenivasan Lalithkumar, Hongliang Ren, Ben Glocker:
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition. CoRR abs/2109.05263 (2021) - [i7]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) - [i6]Mobarakol Islam, Vibashan VS, Chwee Ming Lim, Hongliang Ren:
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery. CoRR abs/2112.08189 (2021) - 2020
- [j3]Jia Yi Lee, Mobarakol Islam, Jing Ru Woh, T. S. Mohamed Washeem, Lee Ying Clara Ngoh, Weng Kin Wong, Hongliang Ren:
Ultrasound needle segmentation and trajectory prediction using excitation network. Int. J. Comput. Assist. Radiol. Surg. 15(3): 437-443 (2020) - [j2]Navodini Wijethilake, Mobarakol Islam, Hongliang Ren:
Radiogenomics model for overall survival prediction of glioblastoma. Medical Biol. Eng. Comput. 58(8): 1767-1777 (2020) - [c12]Mobarakol Islam, Vibashan VS, Hongliang Ren:
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery. ICRA 2020: 8433-8439 - [c11]Navodini Wijethilake, Mobarakol Islam, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, Hongliang Ren:
Radiogenomics of Glioblastoma: Identification of Radiomics Associated with Molecular Subtypes. MLCN/RNO-AI@MICCAI 2020: 229-239 - [c10]Mobarakol Islam, Seenivasan Lalithkumar, Lim Chwee Ming, Hongliang Ren:
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery. MICCAI (3) 2020: 627-636 - [i5]Mobarakol Islam, Vibashan VS, Hongliang Ren:
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery. CoRR abs/2003.04769 (2020) - [i4]Mobarakol Islam, Seenivasan Lalithkumar, Lim Chwee Ming, Hongliang Ren:
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery. CoRR abs/2007.03357 (2020) - [i3]Mobarakol Islam, Daniel Anojan Atputharuban, Ravikiran Ramesh, Hongliang Ren:
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning. CoRR abs/2007.11319 (2020) - [i2]Navodini Wijethilake, Mobarakol Islam, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, Hongliang Ren:
Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes. CoRR abs/2010.14068 (2020)
2010 – 2019
- 2019
- [j1]Mobarakol Islam, Daniel Anojan Atputharuban, Ravikiran Ramesh, Hongliang Ren:
Real-Time Instrument Segmentation in Robotic Surgery Using Auxiliary Supervised Deep Adversarial Learning. IEEE Robotics Autom. Lett. 4(2): 2188-2195 (2019) - [c9]Mobarakol Islam, V. S. Vibashan, V. Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren:
Brain Tumor Segmentation and Survival Prediction Using 3D Attention UNet. BrainLes@MICCAI (1) 2019: 262-272 - [c8]Mobarakol Islam, Yueyuan Li, Hongliang Ren:
Learning Where to Look While Tracking Instruments in Robot-Assisted Surgery. MICCAI (5) 2019: 412-420 - [i1]Mobarakol Islam, Yueyuan Li, Hongliang Ren:
Learning Where to Look While Tracking Instruments in Robot-assisted Surgery. CoRR abs/1907.00214 (2019) - 2018
- [c7]Mobarakol Islam, V. Jeya Maria Jose, Hongliang Ren:
Glioma Prognosis: Segmentation of the Tumor and Survival Prediction Using Shape, Geometric and Clinical Information. BrainLes@MICCAI (2) 2018: 142-153 - [c6]Mobarakol Islam, N. Rajiv Vaidyanathan, V. Jeya Maria Jose, Hongliang Ren:
Ischemic Stroke Lesion Segmentation Using Adversarial Learning. BrainLes@MICCAI (1) 2018: 292-300 - [c5]Mobarakol Islam, Parita Sanghani, Angela An Qi See, Michael Lucas James, Nicolas Kon Kam King, Hongliang Ren:
ICHNet: Intracerebral Hemorrhage (ICH) Segmentation Using Deep Learning. BrainLes@MICCAI (1) 2018: 456-463 - [c4]Venkatesh Bharadwaj Srinivasan, Mobarakol Islam, Wei Zhang, Hongliang Ren:
Finger Movement Classification from Myoelectric Signals Using Convolutional Neural Networks. ROBIO 2018: 1070-1075 - 2017
- [c3]Mobarakol Islam, Hongliang Ren:
Multi-modal PixelNet for Brain Tumor Segmentation. BrainLes@MICCAI 2017: 298-308 - 2011
- [c2]Mobarakol Islam, Arifur Rahaman, Md. Mehedi Hasan, M. Shahjahan:
An Efficient Neural Network Training Algorithm with Maximized Gradient Function and Modulated Chaos. ISCID (1) 2011: 36-39
2000 – 2009
- 2001
- [c1]Mobarakol Islam, Md. Shahjahan, Kazuyuki Murase:
A new weight freezing method for reducing training time in designing artificial neural networks. SMC 2001: 341-346
Coauthor Index
Seenivasan Lalithkumar
aka: Lalithkumar Seenivasan
aka: Lalithkumar Seenivasan
[j20] [j19] [j16] [j15] [j14] [j13] [c36] [c35] [c34] [c33] [c32] [i56] [i55] [i54] [i53] [i50] [i48] [i46] [i45] [i44] [j12] [j11] [j10] [c30] [c29] [c28] [c27] [c26] [c24] [c23] [c22] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i28] [j9] [j8] [j7] [c20] [c19] [c18] [d1] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i16] [i15] [j6] [j5] [j4] [c15] [c13] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [i6] [j3] [j2] [c12] [c11] [c10] [i5] [i4] [i3] [i2] [j1] [c9] [c8] [i1] [c7] [c6] [c5] [c4] [c3]
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