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Fadillah A. Maani
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Conference and Workshop Papers
- 2024
- [c9]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 - [c8]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 - [c7]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 - [c6]Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub:
CoReEcho: Continuous Representation Learning for 2D+Time Echocardiography Analysis. MICCAI (4) 2024: 591-601 - [c5]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 - 2023
- [c4]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. BraTS/CrossMoDA@MICCAI 2023: 264-277 - [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 - 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
Informal and Other Publications
- 2024
- [i10]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) - [i9]Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub:
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis. CoRR abs/2403.10164 (2024) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]Sarim Hashmi, Juan Lugo, Abdelrahman Elsayed, Dinesh Saggurthi, Mohammed Elseiagy, Alikhan Nurkamal, Jaskaran Walia, Fadillah Adamsyah Maani, Mohammad Yaqub:
Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics. CoRR abs/2411.15872 (2024) - [i3]Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar, Henok Biadglign Ademtew, Yahya Hmaiti, Amandeep Kumar, Kartik Kuckreja, Mykola Maslych, Wafa Al Ghallabi, Mihail Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Amirudin, Muhammad Ridzuan, Daniya Kareem, Ketan More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan S. Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan Xavier, Amit Bhatkal, Hawau Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman Khan, Fahad Khan:
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. CoRR abs/2411.16508 (2024) - 2023
- [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)
Coauthor Index
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