Publications

• Brain Metastases Segmentation for BraTS 2026 Task 1: A Multi-Architecture Comparison (August 2026)

  Comparison of a plain nnU-Net baseline, a Residual Encoder Large (ResEncL) variant, region-based training, and a Primus (PrimusV3S) transformer model for brain metastasis segmentation, submitted to the BraTS-METS 2026 Task 1 challenge.

  Authors: Mahdi Islam, Musarrat Tabassum

  Conference: BraTS-METS, MICCAI 2026

  Publisher: MICCAI

  Code

  Recommended Citation: Mahdi Islam, Musarrat Tabassum. "Brain Metastases Segmentation for BraTS 2026 Task 1: A Multi-Architecture Comparison." BraTS-METS, MICCAI 2026.

• Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation (May 2026)

  Digital poster abstract (#05614) presented at the ISMRM Annual Meeting 2026 in Cape Town, on an annotation-efficient CMR-based pipeline for aorto-iliac segmentation and TAVI access route quantification.

  Authors: Enrique Almar-Muñoz, Mahdi Islam, Musarrat Tabassum, Christian Kremser, Markus Haltmeier, Agnes Mayr

  Conference: ISMRM Annual Meeting 2026, Cape Town — Digital Poster, Congenital Heart Disease, Valves, and Vessels

  Publisher: ISMRM

  Read Paper

  Recommended Citation: Enrique Almar-Muñoz, Mahdi Islam, Musarrat Tabassum, Christian Kremser, Markus Haltmeier, Agnes Mayr. "Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation." ISMRM Annual Meeting 2026, Cape Town, Abstract #05614.

• FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation (January 2026)

  Benchmark study evaluating semi-supervised learning methods for cervical segmentation in fetal ultrasound, based on the Fetal Ultrasound Grand Challenge (FUGC).

  Authors: Jun Bai, Yiqun Tang, Zongwei Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Muñoz, et al.

  Conference: IEEE Transactions on Medical Imaging

  Publisher: IEEE

  Read Paper arXiv

  Recommended Citation: Jun Bai, Yiqun Tang, Zongwei Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Muñoz, et al. "FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation." IEEE Transactions on Medical Imaging, 2026.

• Automated Aortoiliofemoral Segmentation and Transfemoral Access Planning Using Non-Contrast MR Angiography for Transcatheter Aortic Valve Replacement Guidance (January 2026)

  Automated pipeline for aortoiliofemoral segmentation and quantitative transfemoral access planning from non-contrast MR angiography, developed to support TAVR procedure guidance.

  Authors: Enrique Almar-Muñoz, Mahdi Islam, Musarrat Tabassum, Markus Haltmeier, Martin Pamminger, Leo Neumann, Christian Kremser, Martin Reindl, Sebastian J. Reinstadler, Bernhard Metzler, Agnes Mayr

  Conference: Radiology: Cardiothoracic Imaging

  Publisher: RSNA

  Status: Under Review

  Recommended Citation: Enrique Almar-Muñoz, Mahdi Islam, Musarrat Tabassum, Markus Haltmeier, Martin Pamminger, Leo Neumann, Christian Kremser, Martin Reindl, Sebastian J. Reinstadler, Bernhard Metzler, Agnes Mayr. "Automated Aortoiliofemoral Segmentation and Transfemoral Access Planning Using Non-Contrast MR Angiography for Transcatheter Aortic Valve Replacement Guidance." Radiology: Cardiothoracic Imaging, 2026 (under review).

• Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation (September 2025)

  This study introduces an annotation-efficient active learning pipeline for 3D segmentation and automated diameter quantification in CMR-based TAVI planning.

  Authors: Mahdi Islam, Musarrat Tabassum, Agnes Mayr, Christian Kremser, Markus Haltmeier, Enrique Almar-Munoz

  Conference: Journal of Imaging, MDPI

  Publisher: MDPI

  Read Paper

  Recommended Citation: Mahdi Islam, Musarrat Tabassum, Agnes Mayr, Christian Kremser, Markus Haltmeier, Enrique Almar-Munoz. "Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation." *Journal of Imaging*, vol. 11, no. 9, 318, 2025. https://doi.org/10.3390/jimaging11090318.

• Semi-Supervised Transformer-Based Cervical Segmentation: FUGC 2025 Challenge (April 2025)

  Semi-supervised transformer-based approach for cervical segmentation submitted to the Fetal Ultrasound Grand Challenge (FUGC) 2025, part of the team that ranked 5th internationally.

  Authors: Mahdi Islam, Musarrat Tabassum, Marta Elbatel, Agnes Mayr, Christian Kremser, Markus Haltmeier, Enrique Almar-Muñoz

  Conference: IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

  Publisher: IEEE

  Read Paper

  Recommended Citation: Mahdi Islam, Musarrat Tabassum, Marta Elbatel, Agnes Mayr, Christian Kremser, Markus Haltmeier, Enrique Almar-Muñoz. "Semi-Supervised Transformer-Based Cervical Segmentation: FUGC 2025 Challenge." IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025.

• Real-time clinical gait analysis and foot anomalies detection using pressure sensors and convolutional neural network (May 2022)

  This research presents a novel insight on gait disorder detection using transfer learning algorithms on sensor-acquired data.

  Authors: Mahdi Islam, Musarrat Tabassum, Mirza Muntasir Nishat, Fahim Faisal, Muhammad Sayem Hasan

  Conference: 2022 7th International Conference on Business and Industrial Research (ICBIR)

  Publisher: IEEE

  Total Citations: 29

  Read Paper

  Recommended Citation: Mahdi Islam, Musarrat Tabassum, Mirza Muntasir Nishat, Fahim Faisal, Muhammad Sayem Hasan. "Real-time clinical gait analysis and foot anomalies detection using pressure sensors and convolutional neural network", 2022 7th International Conference on Business and Industrial Research (ICBIR), Pages 717-722, IEEE.