Publications

Research in medical imaging, machine learning, and human intelligence.

41–60 of 67 publications

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2024IEEE ISBI 2024

Leveraging unlabeled data for 3D medical image segmentation through self-supervised contrastive learning

Karimijafarbigloo, Sanaz, et al.

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2024RSNA 2024

Limited utility of RECIST 1.1 in predicting pathologic response to neoadjuvant radiotherapy in myxoid liposarcoma

Yuri Velichko et al.

2024RSNA 2024

MRI intensity standardization via prototype learning fro improved oncological analysis of heterogenous datasets

Meghana Karri, et al.

2024EJNMMI Research

Machine learning for prognostic prediction in coronary artery disease with SPECT data: a systematic review and meta-analysis

Vedat Cicek, et al.

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2024US Patent - 2024

Methods of artificial intelligence-assisted infrastructure assessment using mixed reality systems.

Karaaslan, Enes, et al.

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2024IEEE ICECCME 2024

Mortality prediction of pulmonary embolism patients with deep learning and xgboost

Vedat Cicek et al.

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2024IEEE Transactions on Neural Networks and Learning Systems

Multichannel orthogonal transform-based perceptron layers for efficient ResNets

H. Pan, E. Hamdan, X. Zhu, S. Atici and A. E. Cetin

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2024MICCAI MLMI 2024

Novel momentum-based deep learning techniques for medical image classification and segmentation

AKoushik Biswas, Ridal Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela Ladner, Amir Borhani, Ulas Bagci

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2024MICCAI AIPAD 2024

Optimizing synthetic data for enhanced pancreatic tumor segmentation

Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci

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2024IEEE EBMC 2024

PAM-UNet: shifting attention on region of interest in medical images

A. Das, D. Jha, V. Gorade, K. Biswas, H. Pan, Z. Zhang, D. P. Ladner, Y. Velichko, A. Borhani, and U. Bagci

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2024IEEE AVSS 2024

PGDS: pose-guidance deep supervision for mitigating clothes-changing in person re-identification

Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang, Phuoc-Thao Vo Thi, Hai-Dang Nguyen, Debesh Jha, Ulas Bagci, Ngan Le, Minh-Triet Tran

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2024CVPR DEF-AI-MIA 2024

PP-SAM: perturbed prompts for robust adaption of segment anything model for polyp segmentation

Md M. Rahman, M. Munir, D. Jha, U. Bagci, R. Marculescu

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2024APA/JPS/CAP/IAP 2024 Annual Meeting

Patients with acute pancreatitis have significant decline in pancreas volume over time

Jasson Barrios, Elif Keles, Gorkem Durak, Ziliang Hong, Paya Sarraf,Matthew Antalek, Zheuyan Zhang, Brian Boulay, Ashley Vareedayah, Brian Layden,Temel Tirkes,Ulas Bagci,Cemal Yazici

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2024MICCAI EPIMI 2024

Practical and ethical considerations for generative AI in medical imaging

Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma,Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael Wallace, Cemal Yazici, Tyler Berzin, Koushik Biswas, Ulas Bagci

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2024ICNC-CT 2024

Predicting short term mortality in patients with acute pulmonary embolism with deep learning

V Cicek, et al.

2024CIRCULATION JOURNAL

Predicting short-term mortality in patients with acute pulmonary embolism with deep learning

Vedat Cicek et al.,

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2024IEEE EMBS 2024

Prediction of MRI-induced power absorption in patients with DBS leads

Yalcin Tur, et al.

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2024Medicina - 2024

Predictive value of inflammatory scores for left atrium thrombosis in ischemic stroke without atrial fibrillation

Vedat Cicek et al.

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2024ICPR 2024

ProFONet: prototypical feature space optimized network for few shot classification

Abhijit Das, Vandan Gorade, Debesh Jha, Koushik Biswas, Pethuru Raj, Ulas Bagci

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2024IEEE ISBI 2024

Rethinking intermediate layers design in knowledge distillation for kidney and liver tumor segmentation

Gorade, Vandan, et al.

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