Nima Tajbakhsh

60 papers A* 2A 1B 1C 2Journal 31Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery. CoRR Meng Xin, Sweta Priyadarshi, Jingyu Xin, Bilal Kartal, Aditya Vavre, Asma Kuriparambil Thekkumpate, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Ido Shahaf, Akhiad Bercovich, Kinjal Patel, Suguna Varshini Velury, Chenjie Luo, Zhiyu Cheng, Jenny Chen, Chen-Han Yu, Wei Ping, Oleg Rybakov, Nima Tajbakhsh, Oluwatobi Olabiyi, Dusan Stosic, Di Wu, Song Han, Eric Chung, Sharath Turuvekere Sreenivas, Bryan Catanzaro, Yoshi Suhara, Tijmen Blankevoort, Huizi Mao
2025	J	`jnl`	Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning. CoRR Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan, Marcin Chochowski, Yashaswi Karnati, Raviraj Joshi, Ameya Sunil Mahabaleshwarkar, Zijia Chen, Yoshi Suhara, Oluwatobi Olabiyi, Daniel Korzekwa, Mostofa Patwary, Mohammad Shoeybi, Jan Kautz, Bryan Catanzaro, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov
2025	A	`conf`	Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models. WACV Rohit Jena, Ali Taghibakhshi, Sahil Jain, Gerald Shen, Nima Tajbakhsh, Arash Vahdat
2025	J	`jnl`	Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs. CoRR Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan, Ruisi Cai, Marcin Chochowski, Ameya Sunil Mahabaleshwarkar, Yoshi Suhara, Oluwatobi Olabiyi, Daniel Korzekwa, Mostofa Patwary, Mohammad Shoeybi, Jan Kautz, Bryan Catanzaro, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov
2025	J	`jnl`	Training Video Foundation Models with NVIDIA NeMo. CoRR Zeeshan Patel, Ethan He, Parth Mannan, Xiaowei Ren, Ryan Wolf, Niket Agarwal, Jacob Samuel Huffman, Zhuoyao Wang, Carl Wang, Jack Chang, Yan Bai, Tommy Huang, Linnan Wang, Sahil Jain, Shanmugam Ramasamy, Joseph Jennings, Ekaterina Sirazitdinova, Oleg Sudakov, Mingyuan Ma, Bobby Chen, Forrest Lin, Hao Wang, Vasanth Rao Naik Sabavat, Sriharsha Niverty, Rong Ou, Pallab Bhattacharya, David Page, Nima Tajbakhsh, Ashwath Aithal
2024	J	`jnl`	Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models. CoRR Rohit Jena, Ali Taghibakhshi, Sahil Jain, Gerald Shen, Nima Tajbakhsh, Arash Vahdat
2024	J	`jnl`	Llama 3 Meets MoE: Efficient Upcycling. CoRR Aditya Vavre, Ethan He, Dennis Liu, Zijie Yan, June Yang, Nima Tajbakhsh, Ashwath Aithal
2023	—	`conf`	MDT-Net: Multi-Domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan. ISBI Weinan Song, Gaurav Fotedar, Nima Tajbakhsh, Ziheng Zhou, Lei He, Xiaowei Ding
2023	J	`jnl`	SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs. CoRR Shengzhi Li, Nima Tajbakhsh
2022	J	`jnl`	MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan. CoRR Weinan Song, Gaurav Fotedar, Nima Tajbakhsh, Ziheng Zhou, Xiaowei Ding
2021	—	`conf`	A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation. ISBI Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding
2021	J	`jnl`	A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation. CoRR Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding
2021	J	`jnl`	Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. IEEE Trans. Medical Imaging Nima Tajbakhsh, Holger Roth, Demetri Terzopoulos, Jianming Liang
2020	J	`jnl`	Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). CoRR Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand Tarzjan, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile Moreno, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, María J. Ledesma-Carbayo
2020	J	`jnl`	Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation. Medical Image Anal. Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey N. Chiang, Zhihao Wu, Xiaowei Ding
2020	—	`conf`	ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation. ISBI Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding
2020	—	`conf`	Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts. MICCAI (1) Gaurav Fotedar, Nima Tajbakhsh, Shilpa P. Ananth, Xiaowei Ding
2020	J	`jnl`	Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts. CoRR Gaurav Fotedar, Nima Tajbakhsh, Shilpa P. Ananth, Xiaowei Ding
2020	J	`jnl`	Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Nima Tajbakhsh, Demetri Terzopoulos
2020	J	`jnl`	UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. IEEE Trans. Medical Imaging Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
2019	J	`jnl`	Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. CoRR Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh
2019	J	`jnl`	Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation. Medical Image Anal. Nima Tajbakhsh, Jae Y. Shin, Michael B. Gotway, Jianming Liang
2019	J	`jnl`	Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation. CoRR Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey N. Chiang, Zhihao Wu, Xiaowei Ding
2019	J	`jnl`	ErrorNet: Learning error representations from limited data to improve vascular segmentation. CoRR Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding
2019	A*	`conf`	Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. ICCV Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
2019	J	`jnl`	Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. CoRR Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
2019	—	`conf`	Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. MICCAI (4) Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2019	J	`jnl`	Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. CoRR Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2019	—	`conf`	Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. ISBI Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding
2019	J	`jnl`	Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. CoRR Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding
2019	J	`jnl`	UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. CoRR Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
2018	—	`conf`	Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. DLMIA/ML-CDS@MICCAI Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh
2018	—	`conf`	Reduction in training time of a deep learning model in detection of lesions in CT. Computer-Aided Diagnosis Nazanin Makkinejad, Nima Tajbakhsh, Amin Zarshenas, Ashfaq Khokhar, Kenji Suzuki
2018	—	`conf`	UNet++: A Nested U-Net Architecture for Medical Image Segmentation. DLMIA/ML-CDS@MICCAI Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
2018	J	`jnl`	UNet++: A Nested U-Net Architecture for Medical Image Segmentation. CoRR Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
2017	—	`ch.`	Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks. Deep Learning for Medical Image Analysis Nima Tajbakhsh, Jae Y. Shin, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
2017	B	`conf`	Automatic polyp detection in colonoscopy videos. Image Processing Zijie Yuan, Mohammadhassan Izadyyazdanabadi, Divya Mokkapati, Rujuta Panvalkar, Jae Y. Shin, Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2017	J	`jnl`	Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. CoRR Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
2017	J	`jnl`	Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs. Pattern Recognit. Nima Tajbakhsh, Kenji Suzuki
2017	J	`jnl`	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? CoRR Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
2017	—	`ch.`	On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
2016	J	`jnl`	Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information. IEEE Trans. Medical Imaging Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2016	A*	`conf`	Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. CVPR Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
2016	J	`jnl`	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? IEEE Trans. Medical Imaging Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
2015	—	`conf`	A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos. IPMI Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2015	—	`conf`	Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. ISBI Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2015	—	`conf`	Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks. MICCAI (2) Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2015	—	`—`	Ensuring High-Quality Colonoscopy by Reducing Polyp Miss-Rates. Nima Tajbakhsh
2014	—	`conf`	Automatic Assessment of Image Informativeness in Colonoscopy. ABDI@MICCAI Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang
2014	—	`conf`	Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns. MICCAI (2) Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2014	—	`conf`	Automatic polyp detection from learned boundaries. ISBI Nima Tajbakhsh, Changching Chi, Suryakanth R. Gurudu, Jianming Liang
2013	—	`conf`	A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps. Abdominal Imaging Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2013	J	`jnl`	A novel online boosting algorithm for automatic anatomy detection. Mach. Vis. Appl. Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Michael B. Gotway, Jianming Liang
2012	—	`conf`	Self-adaptive asymmetric on-line boosting for detecting anatomical structures. Computer-Aided Diagnosis Hong Wu, Nima Tajbakhsh, Wenzhe Xue, Jianming Liang
2011	—	`conf`	Automated Detection of Major Thoracic Structures with a Novel Online Learning Method. MLMI Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Jianming Liang
2010	J	`jnl`	Robust Iris Verification Based on Local and Global Variations. EURASIP J. Adv. Signal Process. Nima Tajbakhsh, Babak Nadjar Araabi, Hamid Soltanian-Zadeh
2009	—	`conf`	A Region-Based Iris Feature Extraction Method Based on 2D-Wavelet Transform. COST 2101/2102 Conference Nima Tajbakhsh, Khashayar Misaghian, Naghmeh Mohammadi Bandari
2009	—	`conf`	Noisy Iris Verification: A Modified Version of Local Intensity Variation Method. ICB Nima Tajbakhsh, Babak Nadjar Araabi, Hamid Soltanian-Zadeh
2008	C	`conf`	An intelligent decision combiner applied to noncooperative iris recognition. FUSION Nima Tajbakhsh, Babak Nadjar Araabi, Hamid Soltanian-Zadeh
2008	C	`conf`	Feature fusion as a practical solution toward noncooperative iris recognition. FUSION Nima Tajbakhsh, Babak Nadjar Araabi, Hamid Soltanian-Zadeh