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ORCIDFadillah A. Maani
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2020 – today
- 2024
[c8]Fadillah Adamsyah Maani, Anees Ur Rehman Hashmi, Numan Saeed, Mohammad Yaqub:
On Enhancing Brain Tumor Segmentation across Diverse Populations with Convolutional Neural Networks. ISBI 2024: 1-4- [c7]Santosh Sanjeev
, Fadillah Adamsyah Maani, Arsen Abzhanov, Vijay Ram Papineni, Ibrahim Almakky, Bartlomiej W. Papiez, Mohammad Yaqub:
TiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation. DGM4MICCAI@MICCAI 2024: 169-179 - [c6]Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub:
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CaPTion@MICCAI 2024: 231-240 - [c5]Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub:
CoReEcho: Continuous Representation Learning for 2D+Time Echocardiography Analysis. MICCAI (4) 2024: 591-601 - [c4]Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub:
SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. MICCAI (5) 2024: 659-669 - [i8]Fadillah A. Maani, Anees Ur Rehman Hashmi, Mariam Aljuboory, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub:
Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks. CoRR abs/2403.09262 (2024) - [i7]Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub:
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis. CoRR abs/2403.10164 (2024) - [i6]Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub:
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast. CoRR abs/2403.10603 (2024) - [i5]Santosh Sanjeev, Fadillah Adamsyah Maani, Arsen Abzhanov, Vijay Ram Papineni, Ibrahim Almakky, Bartlomiej W. Papiez, Mohammad Yaqub:
TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation. CoRR abs/2403.13343 (2024) - [i4]Fadillah A. Maani, Anees Ur Rehman Hashmi, Numan Saeed, Mohammad Yaqub:
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks. CoRR abs/2405.02852 (2024) - [i3]Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub:
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CoRR abs/2409.19901 (2024) - 2023
- [c3]Sanoojan Baliah, Fadillah A. Maani, Santosh Sanjeev, Muhammad Haris Khan:
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy. MLMI@MICCAI (1) 2023: 444-453 - [i2]Sanoojan Baliah, Fadillah A. Maani, Santosh Sanjeev, Muhammad Haris Khan:
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy. CoRR abs/2308.14212 (2023) - [i1]Fadillah A. Maani, Asim Ukaye, Nada Saadi, Numan Saeed, Mohammad Yaqub:
UniLVSeg: Unified Left Ventricular Segmentation with Sparsely Annotated Echocardiogram Videos through Self-Supervised Temporal Masking and Weakly Supervised Training. CoRR abs/2310.00454 (2023) - 2022
- [c2]Muhammad Rifqi Rafian Putra, Yolanda Tania Mulyadi, Yul Yunazwin Nazaruddin, Fadillah Adamsyah Maani:
Localization Method for Missing Information in Autonomous Vehicle Using LSTM and UKF Approaches. ASCC 2022: 429-434 - 2021
- [c1]Yul Y. Nazaruddin, Fadillah A. Maani, Eraraya R. Muten, Prasetyo W. L. Sanjaya, Gilbert Tjahjono, Joshua A. Oktavianus:
An Approach for the Localization Method of Autonomous Vehicles in the Event of Missing GNSS Information. SICE 2021: 881-886
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last updated on 2024-11-07 21:32 CET by the dblp team
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