Publications

Patents      Journal Papers      Conference Proceedings     Abstracts

 

Patents (back)

1.     Amit Mehndiratta, Sandeep P Jogi, Rafeek T. MRI Compatible Knee Joint Axial-Load Exerting Device. Indian Patent No. 534994 (granted in 2024).

2.     Dr Jaspreet K Randhawa, Ashish Tiwari, Dr Chayan K Nandi, Anup Singh. Single step synthesis of multimodal magneto-fluorescent core-shell superparamagnetic iron oxide nanoparticles and fluorescent carbon nanodots.  Indian Patent No. 401217 (Granted in 2024).

3.     Ravinder Reddy, Hari hariharan, Mohammad Haris, Kejia Cai, Anup Singh, Feliks Kogan. "CEST MRI Methods For Imaging of Metabolites And The Use Of Same As Biomarkers". United States Patent Application No.  US 8686727 B2 (Granted 2014).

4.     Anup Singh, Kejia Cai, Mohammad Haris, Hari Hariharan, Ravinder Reddy. Endogenous Magnetization Contrast in MRI. US 20130147477 A1 (Granted, 2016).

5.     Mohammad Haris, Kejia Cai, Anup Singh, Feliks Kogan, Ravi Prakash Reddy Nanga, Hari Hariharan, Ravinder Reddy.  Magnetic resonance imaging of poly-l-glutamate.   WO2014165775A1 (Granted 2016).

Journal Papers (back)  

Google Scholar Link:https://scholar.google.co.in/citations?user=qyd5fCkAAAAJ&hl=en

  Recent Papers

1.     Jafari R, Verma RK, Aggarwal V, Gupta RK, Singh A**. Deep Learning-Based Segmentation of Left Ventricular Myocardium on Dynamic Contrast Enhanced MRI: A Comprehensive Evaluation Across Temporal Frames International Journal of Computer Assisted Radiology and Surgery. IJCARS (2024), Accepted.

2.     Kesari A, Yadav VK, Gupta RK, Singh A**. Automatic Removal of Large Blood Vasculature for Objective Assessment of Brain Tumor using Quantitative DCE-MRI. NMR in Biomedicine (2024), Accepted.

3.     DS Sankaralayam, AK Ramaniharan, RK Gupta, R Patir, S Ahlawat, A Singh**. Evaluating the Role of Leakage Correction of Hemodynamic Parameters derived from Dynamic Contrast Enhanced MRI for Glioma Grading. J Magn Reson Imaging. 2024. doi: 10.1002/jmri.29338.

4.     A Tiwari, A Debnath, MG Moinuddin, A Mushtaq, A Singh, SK Sharma, J Randhawa. Multifunctional fluorescent SPIONs display exceptional optical/magnetic contrast and enhanced photoconductivity in interdigitated electrode based photoresponsive devices.  Journal of Materials Chemistry A 12 (5), 3096-3110.

5.     A Bhandari, S Mukharjee, A Kumar, A Singh, W Zhan. Highlighting the effect of heterogeneous blood perfusion on radio-frequency ablation of human brain tumors: An image-based numerical investigation. International Journal of Thermal Sciences 189, 108283.

6.     N Vats, A Sengupta, RK Gupta, R Patir, S Vaishya, S Ahlawat, J Saini, S Agarwal, A Singh**. Differentiation of pilocytic astrocytoma from glioblastoma using a machine-learning framework based upon quantitative T1 perfusion MRI.  Magn Reson Imaging. 2023 May;98:76-82.

7.     PS Parvaze, R Bhattacharjee, A Singh, S Ahlawat, R Patir, S Vaishya, ... Radiomics-based evaluation and possible characterization of dynamic contrast enhanced (DCE) perfusion derived different sub-regions of Glioblastoma.  European Journal of Radiology, Volume 159, February 2023, 110655.

8.     D Singh, CJ Das, V Kumar, A Singh, A Mehndiratta Quantification of prostate tumour diameter and volume from MR images using 3D ellipsoid model and its impact on PI-RADS v2. 1 assessment. Scientific Reports 12 (1), 21501. 2022

9.     R Bhattacharjee, M Gupta, T Singh, S Sharma, G Khanna, SP Parvaze, R Patir, S Vaishya, S Ahlawat, A Singh & RK Gupta. Role of intra-tumoral vasculature imaging features on susceptibility weighted imaging in differentiating primary central nervous system lymphoma from glioblastoma: a multiparametric comparison with pathological validation. Neuroradiology, 64, 1801–1818 (2022).

10.  SP Jogi, R Thaha, S Rajan, V Mahajan, VK Venugopal, A Mehndiratta, A Singh**. Device for Assessing Knee Joint Dynamics During Magnetic Resonance Imaging. Journal of Magnetic Resonance Imaging (2021).

11.  SD Sasi, RK Gupta, R Patir, S Ahlawat, S Vaishya, A Singh**. A comprehensive evaluation and impact of normalization of generalized tracer kinetic model parameters to characterize blood-brain-barrier permeability in normal-appearing and tumor tissue regions of patients with glioma. Magnetic Resonance Imaging, Volume 83, 2021, Pages 77-88.

12.  SP Jogi, R Thaha, S Rajan, V Mahajan, VK Venugopal, A Singh, A Mehndiratta. Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis. Journal of Translational Medicine 19 (1), 1-13.

13.  R Thaha, SP Jogi, S Rajan, VM Mbbs, A Mehndiratta, A Singh**. A Semi‐automatic Framework Based Upon Quantitative Analysis of MR‐Images for Classification of Femur Cartilage into Asymptomatic, Early‐OA and Advanced‐OA Groups. Journal of Orthopaedic Research, 2021.

14.  R Bhattacharjee, RK Gupta, B Das, VK Dixit, P Gupta, A Singh**. Penumbra quantification from MR SWI‐DWI mismatch and its comparison with MR ASL PWI‐DWI mismatch in patients with acute ischemic stroke. NMR in Biomedicine, e4526, 2021.

15.  D Singh, V Kumar, CJ Das, A Singh, A Mehndiratta. Characterisation of prostate cancer using texture analysis for diagnostic and prognostic monitoring. NMR in Biomedicine, e4495, 2021.

16.  Debnath A, Gupta RK, Reddy R, Singh A**. Effect of Offset-frequency Step-size and Interpolation Methods on CEST MRI Computation in Human Brain. NMR in Biomedicine, Accepted (Dec 2020).

17.  D Sasi, KR Anandh, R Bhattacharjee, ….., Singh A**. Evaluating Feasibility of High Resolution T1-Perfusion MRI with Whole Brain Coverage using Compressed SENSE: Application to Glioma Grading. European Journal of Radiology, Volume 129, August 2020, 109049.

18.  D Singh, V Kumar, CJ Das, A Singh, A Mehndiratta. Segmentation of prostate zones using probabilistic atlas-based method with diffusion-weighted MR images.  Computer Methods and Programs in Biomedicine, 105572. June 2020. 

19.  Debnath A, Hariharan H, Nanga RPR, Reddy R, Singh A**. Glutamate-Weighted CEST Contrast After Removal of Magnetization Transfer Effect in Human Brain and Rat Brain with Tumor. Mol Imaging Biol. 2020 Jan 6.  WebLink

20.  Thaha R, Jogi SP, Rajan S, Mahajan V, Venugopal VK, Mehndiratta A, Singh A**. Modified radial-search algorithm for segmentation of tibiofemoral cartilage in MR images of patients with subchondral lesion. Int J Comput Assist Radiol Surg. 2020 Jan 11.  WebLink

21.  A Tiwari, NC Verma, S Turkkan, A Debnath, A Singh, G Draeger. Graphitic Carbon Coated Magnetite Nanoparticles for Dual-Mode Imaging and Hyperthermia. ACS Applied Nano Materials-2019. WebLink

22.  Singh A*,**, Debnath A**, Cai K, et al. Evaluating Feasibility of Creatine-weighted CEST MRI in Human Brain at 7T using Z-spectral Fitting Approach. NMR in Biomedicine. DOI:10.1002/nbm.4176 (Accepted, Aug 2019) (** shares equal first authorship) WebLink

23.  Debnath A, Gupta RK, Singh A*. Evaluating the Role of Amide-Proton-Transfer Weighted contrast, Optimized for Normalization and Regions of Interest Selection, in Differentiation of Neoplastic and Infective Mass Lesions on 3T MRI. Molecular Imaging and Biology (Accepted, May 2019). WebLink

24.  Bhattacharjee R, Gupta RK, Patir R, Vaishya S, Ahlawat S, Singh A*. Quantitative vs. semiquantitative assessment of intratumoral susceptibility signals in patients with different grades of glioma. J Magn Reson Imaging. 2019 May 14. doi: 10.1002/jmri.26786. WebLink

25.  Saini J, Gupta RK, Kumar M, Singh A, et al. Comparative evaluation of cerebral gliomas using rCBV measurements during sequential acquisition of T1-perfusion and T2*-perfusion MRI. PLoS One. 2019 Apr 24;14(4):e0215400. WebLink

 

26.  Tiwari A, Singh A, Debnath A, Kaul A, Garg N, MathurR, Singh A, Randhawa J. Multifunctional Magneto-Fluorescent Nanocarriers for Dual Mode Imaging and Targeted Drug Delivery. ACS Appl. Nano Mater.2019253060-3072. WebLink

27.  Sengupta A, Ramaniharan A, Gupta RK, Agarwal S, Singh A*. Glioma grading using a machine learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components.  J Magn Reson Imaging. 2019 Mar 20. doi: 10.1002/jmri.26704. WebLink

28.  Bhandari A, Bansal A, Singh A, Gupta RK, Sinha N. Comparison of transport of chemotherapeutic drugs in voxelized heterogeneous model of human brain tumor.  Microvasc Res. 2019 Jul;124:76-90. doi: 10.1016/j.mvr.2019.03.003. WebLink

29.  Sengupta A, Sgarwal A, Gupta PK, Ahlawat, S, Patir R, Gupta RK, Singh A*. On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images. European Journal of Radiology. 2018, Volume 106, Pages 199-208. WebLink

30.  Bhandari A, Bansal A, Singh A, Sinha N. DCE-MRI based voxelized computational model for chemotherapeutic drug transport in human brain tumor. Int J Adv Eng Sci Appl Math. 2018. WebLink

31.  Thakran S, Gupta PK, Kabra V, Saha I, Jain P, Gupta RK, Singh A*. Characterization of breast lesion using T1-perfusion magnetic resonance imaging: Qualitative vs. quantitative analysis. Diagn Interv Imaging. 2018 Jun 14. pii: S2211-5684(18)30142-6. WebLink

32.  Tiwari A, Verma N, Singh A, Nandi C and Randhawa J. Carbon coated core-shell multifunctional fluorescent SPIONs. Nanoscale (2018). WebLink

33.  Thakran S, Chatterjee S, Singhal M, Gupta RK, Singh A*. Automatic Outer and Inner Breast Tissue Segmentation using Multi-parametric MRI Images of Breast Tumor Patients. PLoS ONE (2018) 13(1): e0190348. WebLink

34.  Bagga P, Pickup S, Crescenzi R, Martinez D, Borthakur A, D’Aquilla K, Singh A, et al. In vivo GluCEST MRI: Reproducibility, background contribution and source of glutamate changes in the MPTP model of Parkinson’s disease. Scientific Reports volume 8, Article number: 2883 (2018). WebLink

35.  Sengupta A, Gupta RK, and Singh A*. Evaluation of B1 inhomogeneity effect on dce-mri data analysis of brain tumor patients at 3T. J Transl Med. 2017 Dec 2;15(1):242. doi:10.1186/s12967-017-1349-7. WebLink

36.  Bhandari A, Bansal A, Singh A, Sinha N. Numerical Study of Transport of Anti-Cancer Drugs in Heterogeneous Vasculature of Human Brain Tumors using DCE-MRI. ASME, Dec 2017. doi:10.1115/1.4038746. WebLink

37.  Bhandari A, Bansal A, Singh A, Sinha N. Transport of liposome encapsulated drugs in voxelized computational model of human brain tumors. IEEE Trans Nanobioscience. 2017 Oct;16(7):634-644. WebLink

38.  Saini J,  Gupta P, Sahoo P, Singh A, et al. Differentiation of grade II/III and grade IV glioma by combining T1 contrast-enhanced brain perfusion imaging and susceptibility-weighted quantitative imaging.  Neuroradiology, 2017 Oct 31. doi: 10.1007/s00234-017-1942-8. WebLink

39.  Bhandari A, Bansal A, Singh A, Sinha N. Perfusion kinetics in human brain tumor with DCE-MRI derived model and CFD analysis. Journal of Biomechanics, 2017, 5;59:80-89. WebLink

40.  Haris M, Singh A, Reddy S, Bagga P, Kneeland JB, et al. Characterization of viscosupplementation formulations using chemical exchange saturation transfer (ViscoCEST); J Transl Med, 2016 Apr 12;14(1):92. WebLink

 

41.  Yadav SK, Kathiresan N, Mohan S, Vasileiou G, Singh A, Kaura D, Melhem ER, Gupta RK, Wang E, Marincola FM, Borthakur A, Haris M. Gender-based analysis of cortical thickness and structural connectivity in Parkinson's disease. J Neurol. 2016 Nov;263(11):2308-2318.

42.  Singh A*, Reddy D, Haris M, Cai K, et al. T1ρ MRI of healthy and fibrotic human livers at 1.5 T. Journal of Translational Medicine; 2015, 13:292.

43.  Haris M, Yadav S, Rizwan A, Singh A, Wang E, et al. Molecular magnetic resonance imaging in cancer. Journal of Translational Medicine; 2015 13 (1), 313.

44.  SM Dorsey, M Haris, A Singh, WRT Witschey, et al. Visualization of Injectable Hydrogels using Chemical Exchange Saturation Transfer MRI. ACS Biomaterials Science & Engineering, 2015, 1 (4), 227-237.

45.  Cai K, Singh A, Poptani H, Li W, et.al. CEST signal at 2 ppm (CEST@2ppm) from Z-spectral fitting correlates with creatine distribution in brain tumor. NMR Biomed; Epub Oct 2014. doi: 10.1002/nbm.3216.

46.  Haris M, Singh A, Mohammed I, Ittyerah R, et.al. In vivo magnetic resonance imaging of tumor protease activity. Sci Rep. Aug 2014;4:6081.

47.  Haris M, Singh A, Cai K, et.al. High resolution mapping of modafinil induced changes in glutamate level in rat brain PLOS ONE. July 2014;9(7):e103154.

48.  Singh A*, Haris M, Cai K, Kogan F, Hariharan H, Reddy R. High Resolution T1ρ Mapping of In Vivo Human Articular Cartilage at 7T. PLOS ONE, May 2014, 9(5): e97486.

49.  Kejia Cai, He N Xu, Anup Singh, Lily Moon, et al. Breast Cancer Redox Heterogeneity Detectable with Chemical Exchange Saturation Transfer (CEST) MRI.  Mol Imaging Biol. Oct 2014; 16(5): 670–679.

50.  RPR Nanga, C DeBrosse, A Singh, K D’Aquilla, et al. Glutaminase catalyzes reaction of Glutamate to GABA. Biochemical and biophysical research communications; 2014, DOI: 10.1016/j.bbrc.2014.04.059.

  2010-2013

51.  Kogan F, Haris M, Debrosse C, Singh A, et al. In Vivo Chemical Exchange Saturation Transfer Imaging of Creatine (CrCEST) in Skeletal Muscle at 3T. JMRI (2013).

 

52.  Kogan F, Singh A, Debrosse C, et al. Imaging of glutamate in the spinal cord using GluCEST. NeuroImage (2013). DOI:10.1016.

 

53.  ** Haris M, ** Singh A, Cai K, Kogan F,  Debrosse C, Zsido GA, Witschey WRT, et al. A Novel Technique for In Vivo Mapping of Myocardial Creatine Kinase Metabolism. Nature Medicine, 20, 209–214 (2014) (** share equal authorship).

 

54.  Cai K, Singh A, Rolf D, Nanga RP, Haris M, Hariharan H, Gur R, Reddy R. Mapping glutamate in subcorticalbrain structures using high-resolution GluCEST MRI. NMR in Biomed (2013).

 

55.  Kogan F, Haris M, Singh A, Cai K, Debrosse C, et al. Method for high-resolution imaging of creatine in vivo using chemical exchange saturation transfer. MRM (2013).

 

56.  Haris M, Nath K, Cai K, Singh A, Berger S, Hariharan H, Reddy R. Imaging of glutamate neurotransmitter alterations in Alzheimer's disease. NMR Biomed (2012)

 

57.  Haris M, Singh A, Cai K, Nath K, Hariharan H, Reddy R.  MICEST: a potential tool for non-invasive detection of molecular changes in Alzheimer Disease. J Neurosci Methods. 2013 Jan 15;212(1):87-93.

 

  1. Singh A, Cai K, Haris M, Hariharan H, Reddy R. On B1 Inhomogeneity Correction of In vivo Human Brain Glutamate CEST Contrast at 7T. Mag Reson in Med (2012).

 

  1. ** Cai K, ** Haris M, ** Singh A, Kogan F, Greenberg J, et al. Magnetic Resonance Imaging of Glutamate. Nature Medicine (2012), Jan 22;18(2):302-6. (** share equal authorship).

 

  1. Haris M, Nanga Ravi, Singh A, Cai K, Kogan F et al. Exchange Rates of Creatine Kinase Metabolites:  Feasibility of imaging Creatine by Chemical Exchange Saturation Transfer MRI. NMR in Biomedicine (2012).

 

  1. Cai K, Shore A, Singh A, Haris M, et al. Blood Oxygen Level Dependent Angiography (BOLDangio) and Its Potential Applications in Cancer Research. NMR in Biomedicine (2012).

 

62.  Agrawal S, Awasthi R, Singh A, Haris M, Gupta RK, Rathore RK. An exploratory study into the role of dynamic contrast-enhanced (DCE) MRI metrics as predictors of response in head and neck cancers. Clin Radiol. 2012 Sep;67(9):e1-5.

 

  1. Singh A, Haris M, Cai K, Kassey VB,  Kogan F, Reddy D,  Hariharan H, Reddy R. Chemical Exchange Saturation Transfer Magnetic Resonance Imaging of Human  Knee Cartilage at 3T and 7T. Mag Reson in Med (2011).

 

  1. Kogan F,  Singh A,  Cai K, Haris M, Hariharan H, Reddy R. Investigation of Chemical Exchange at Intermediate Exchange Rate using a Combination of CEST and T1ρ methods.  Mag Reson in Med (2011).

 

  1. ** Haris M, ** Cai K, ** Singh A, Hariharan H, Reddy R. In vivo mapping of brain myo-inositol. Neuroimage (2011), Feb 1;54(3):2079-85. (** share equal authorship)

 

  1. Haris M, Singh A, Cai K, Davatzikos C, et al. T1r MRI in Alzheimer’s Disease: Detection of Pathological Changes in Medial Temporal Lobe. J Neuroimaging. 2011, Apr;21(2):e86-90

 

  1. Haris M, Singh A, Cai K, Davatzikos C, et al. T1rho (T(1ρ)) MR imaging in Alzheimer' disease and Parkinson's disease with and without dementia.  J Neurol. 2011 Mar;258(3):380-5

 

  1. Awasthi R, Verma S, Haris M, Singh A, Yadav A, et al Comparative evaluation of dynamic contrast-enhanced perfusion with diffusion tensor imaging metrics in assessment of corticospinal tract infiltration in malignant glioma.  J Comput Assist Tomogr. 2010 Jan;34(1):82-8.

 

  Pre 2010

  1. Singh A, Rathore RKS, Haris M, Verma SK, Gupta RK. Improved Bolus Arrival Time and Arterial Input Function Estimation for Tracer Kinetic Analysis in DCE-MRI. J Magn Reson Imaging 29:166–176 (2009).

 

  1. Haris M, McArdle E, Fenty M, Singh A, Davatzikos C, et al. Early marker for Alzheimer's disease: hippocampus T1ρ (T(1ρ)) estimation. J Magn Reson Imaging. 2009 May; 29(5):1008-12.

 

  1. Haris M, Husain N, Singh A, Awasthi R, Rathore RKS, Husain M, Gupta RK. Dynamic Contrast Enhanced (DCE) Derived Transfer coefficient (ktrans) is a Surrogate Marker of Matrix Metalloproteinase 9 (MMP-9) Expression in Brain Tuberculomas. J Magn Reson Imaging 2008;28:588-97.

 

  1. Haris M, Gupta RK, Husain M, Srivastava C, Singh A, Rathore RKS, et al. Assessment of Therapeutic Response on Serial Dynamic Contrast Enhanced MR Imaging in Brain Tuberculomas. Clinical Radiol 2008;63:562-574.

 

  1. Haris M, Husain N, Singh A, Husain M, Srivastava S, et al. Dynamic contrast enhanced derived cerebral blood volume correlates better with leak correction than with no correction for vascular endothelial growth factor, micro vascular density and grading of astrocytoma. Journal of Computed Assisted Tomography 2008;32;955-965.

 

  1. Haris M, Gupta RK, Singh A, Rathore DS, et al. Differentiation of Infective from Neoplastic Brain Lesions by Dynamic Contrast Enhanced MRI. Neuroradiology 2008 Jun;50(6):531-40.

 

  1. Singh A, Haris M, Rathore DK,  Purwar A, Sarma MK, Bayu G, Husain N, Rathore RKS, Gupta RK. Quantification of Physiological and Hemodynamic indices using T1 Dynamic Contrast Enhanced MRI in Intracranial Mass Lesions. JMRI 26:871-880(2007).

 

  1. Gupta RK, Haris M, Husain N, Husain M, Prasad KN, Pauliah M, Srivastava C, Tripathi M, Rastogi M, Behari S, Singh A, Rathore DK, Rathore RKS. Relative Cerebral Blood Volume Is a Measure of Angiogenesis in Brain Tuberculoma. Journal of Computer Assisted Tomography. 31(3):335-341, May/June 2007.

 

Conference Proceedings (back)

SELECTED CONFERENCE PROCEEDINGS (Total N = 100+)

ISMRM & ISMRT Annual Meeting & Exhibition, Canada (Proc.Intl.Soc.Mag.Reson.Med. (2024)):

1.    Kesari A, Gupta RK, and Singh A. Automatic Segmentation of Large Blood Vasculature in DCE-MRI Data of Brain Tumor Using Different Clustering Algorithms.  Abstract # 1338.

2.    Kumar S*, Jafari R*, Kandpal A, Gupta RK, and Singh A. Automatic classification of Cine MRI images using CNN: Apical-to-Basal vs Extreme slices.  Abstract # 3795.

3.    Maurya S, Gupta RK, Singh A. Evaluating the potential of SWI-EPI MRI towards Glioma grading. 2024 ISMRM & ISMRT Annual Meeting & Exhibition.   Abstract # 3857.

ISMRM & ISMRT Annual Meeting & Exhibition, Canada (Proc.Intl.Soc.Mag.Reson.Med. (2023)):

4.    Prajapati P, Gupta RK and Singh A. Quantitative DCE-MRI parameter estimation using Deep Learning Framework in the Brain Tumor Patients. Abstract # 5191.

5.    Yadav VK, Gupta RK, Agarwal S, and Singh A. Machine Learning based Differentiation of Non-Enhancing Tumor from Vasogenic Edema in patients with Low Grade Gliomas using DCE-MRI. Proceedings of ISMRM 2022. Abstract # 2749.

6.    Kesari A, Yadav VK, Jafari R, Gupta RK, Patir R, Vaishya S, Ahlawat S, and Singh A. Automatic Segmentation of Vasculature in DCE-MRI of Brain Tumors and its Influence in Grading. Abstract # 6538.

7.    Sasi S D, KR Anandh, Gupta RK, Patir R, Ahlawat S, Vaishya S, Singh A. Clinical significance of leakage corrected hemodynamic parameters computed from DCE-MRI on Glioma grading. Abstract #  2508.

Joint Annual Meeting ISMRM-ESMRMB & ISMRT, London(Proc.Intl.Soc.Mag.Reson.Med. (2022)):

8.    Sasi S D, Gupta RK , Patir R, Ahlawat S, Vaishya S, Singh A. A Hybrid Two-Compartmental model for Blood-Brain-Barrier Assessment of Glioma Patients. Abstract # 5191.

9.    Kandpal A, Jayas Tanuja, Bhattacharjee R, Gupta RK, and Singh A. Deep Learning-based Stroke Region Segmentation on Susceptibility Weighted Images in Acute Stroke. Abstract # 1018.

10. Bhattacharjee R, Gupta RK, Patir R, Vaishya S, Ahlawat S, and Singh A. ITSS vasculature volume and Radiomics Features from MR SWI:  Performance in Glioma Grading. Abstract # 2660.

11. Jogi SP, Thaha R, Rajan S, MahajanV, Kumar VV, Mehndiratta1 A, and Singh A. Meniscal deformation MRI study using knee joint axial loading device and finite-element-model. Abstract # 1489

12. Yadav VK, Gupta RK, Agarwal S, and Singh A. Machine Learning based Differentiation of Non-Enhancing Tumor from Vasogenic Edema in patients with Low Grade Gliomas using DCE-MRI. Abstract # 2749.

ISMRM & SMRT Virtual Conference & Exhibition (Proc.Intl.Soc.Mag.Reson.Med. (2020)):

13. Singh A, Debnath A, Gupta RK, and Reddy R. To Evaluate Effect of Interpolation Methods for B0 inhomogeneity correction on computation of CEST MRI Contrast in Human Brain at 3T and 7T. Abstract # 3103.

14. Singh A, et al. On Differentiation of Pilocytic Astrocytoma from High-Grade-Glioma Tumor using Machine Learning Based upon Quantitative T1 Perfusion MRI. Abstract #1893

15. Debnath A, Hariharan H, Nanga RP, Reddy R, and Singh A. Estimation of Glutamate-weighted CEST Contrast after Removal of Magnetization Transfer Effect in Human Brain and Rat Brain with Tumor. Abstract #3139.

16. Sasi DS, Manickam S, Dadarwal R, Gupta RK, and Singh A. Method to Improve Automated Subject Specific Arterial Input Function for DCE-MRI and to Evaluate its Effect on Glioma Grading at 3T. Abstract #4799.

17. Vats N, Yadav VK, Awasthi M, Sasi D, Gupta M, Gupta RK, and Singh A. Segmentation of Active Contrast Enhancing Brain Tumor Region using a Machine Learning Framework based upon Pre and Post contrast MR images. Abstract #3554.

18. Thaha R, Jogi SP, Rajan S, Mehndiratta A, Singh A. To Compare Evaluate the Effect of Normalization on Femur Cartilage T2 Values in Diagnosis of Osteoarthritis. Abstract #2735.

19. Bhattacharjee R, Gupta RK, Patir R, Vaishya S, Ahlawat S, and Singh A. Differentiating lymphoma from grade IV glioma using susceptibility weighted imaging (SWI) based texture feature at 3T MRI. Abstract #1694.

20. Bhattacharjee R, Gupta RK, Dixit VK, Gupta P and Singh A. Penumbra Quantification from SWI visible Prominent Veins and its comparison with ASL-derived penumbra in patients with acute stroke. Abstract #1788.

21. Yadav VK, Vats N, Awasthi M, Sasi D, Gupta M, Gupta RK, Agarwal S, and Singh A. Segmenting Brain Tumor Lesion from 3D FLAIR MR imagesImages using Support Vector Machine approach. Abstract #3517.

 

ISMRM Annual Meeting & Exhibition, Canada (Proc.Intl.Soc.Mag.Reson.Med. (2019)):

22. Bhattacharjee R, Neelavalli J, …, Singh A. Quantitative intra-tumoral-susceptibility-signal (ITSS) vasculature volume (IVV) using QSM vs R2* approach for Glioma Grading.  Abstract # 399 (Oral and The ISMRM Magna Cum Laude Merit Award).

23. Thaha R, Jogi S, … , Singh A. Automated femoro-tibial cartilage segmentation of OA patients with and without bone abnormality.  Abstract Nu-4719 (The ISMRM Magna Cum Laude Merit Award).

24. Sengupta A,  Agarwal S, …, Singh A. Grading of glioma using a machine learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components Abstract # 3069.

25. Sengupta A,  Vats N, …, Singh A. Grading of glioma using a machine learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components.  Abstract # 3070.

26. Sasi D, …, Singh A. To Evaluate Effect of SENSE and CSENSE on Quantitative T1 and T2 mapping of Human Brain.  Abstract # 4414.

27. Thakran S, Sasi S, …, Singh A. To evaluate the role of machine learning for characterization of breast lesion using multiparametric MRI.  Abstract # 4882.

28. Thakran S, Chatterjee S, …, Singh A. Impact of registration on multi-parametric breast MRI data and parameters: Qualitative and Quantitative Assessment.  Abstract # 4882.

29. Sasi D, …, Singh A. To evaluate the effect of different initial guess selection approaches on quantitative analysis of DCE-MRI data of brain tumor patients.  Abstract # 5061.

30. Vats N, Sengupta A, …, Singh A. Comparing supervised and unsupervised machine learning frameworks based upon quantitative-MRI features in differentiation between non-enhancing tumor and vasogenic edema of glioma patients and validation using histopathological ground-truth.   Abstract # 3072.

31. Kar B, Sengupta A, …, Singh A. Grading of glioma using a machine learning framework based on optimized features obtained from quantitative DCE-MRI and SWI.  Abstract # 3071.

32. Jogi S, Thaha R, … , Singh A. An approach to validate MRI Compatible axial Knee joint Loading Device with various standing posture in Standing MRI.  Abstract # 1431.

33. Singh D, Das C, Kumar V, Singh A, Mehndiratta, A. Gland and Zonal Segmentation of Prostate using Diffusion-Weighted MR Imaging.   Abstract # 1831.

34. Singh D, Das C, Kumar V, Singh A, Mehndiratta, A. Automated Detection and PIRADS v2 Scoring of Prostate Cancer using Multiparametric MRI.   Abstract # 1832.

 

ISMRM-ESMRMB 2018, Paris, France(Proc.Intl.Soc.Mag.Reson.Med. (2018)):

 

35. Sengupta A, Singh A, Gupta RK, Gupta PK. Effect of B1 Inhomogeneity propagated error of DCE MRI Data on Tumor Grading of Gliomas at 3T. ISMRM-ESMRMB 2018, Paris, France(Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-5513).

36. Singh A,  Haris M, Debnath A, Cai K, et al. Evaluating Feasibility of Creatine-weighted CEST MRI in Human Brain at 7T using Z-spectral Fitting Approach. ISMRM-ESMRMB 2018, Paris, France(Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-560).(Power Pitch presentation)

37. Jogi S, Rafeek T, Rajan S, Rangarajan K, Singh A, Mehndiratta A. Automated Seed Points Selection Based Radial-Search Segmentation Method For Sagittal and Coronal View Knee MRI Imaging.  ISMRM-ESMRMB 2018, Paris, France(Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-1437).

38. Thakran S, Chatterjee S, Gupta R,  Singh A. Feature Extraction and Analysis for Characterization of Breast Lesion Type using Multi-parametric MRI. ISMRM-ESMRMB 2018, Paris, France(Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-3429).

39. Chatterjee S,  Thakran S,  Gupta R,  Singh A. Breast MRI Tissue Classification and Partial Volume Estimation using Different Methods: Evaluation on T1, T2 and PD-weighted TSE Images.  ISMRM-ESMRMB 2018, Paris, France(Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-2736). (Power Pitch presentation)

40. Thakran Snekha, Singh A,  Gupta P, Kabra V,  Gupta R. Characterization of Breast Lesion using T1-perfusion MRI: Semi- Quantitative Vs Quantitative Analysis. ISMRM-ESMRMB 2018, Paris, France(Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-556).

41. Saini J, Gupta PK, Sahoo P, Singh A, et al. Differentiation of grade II/III and Grade IV glioma by combining ‘T1 contrast enhanced brain perfusion imaging’ and susceptibility weighted quantitative imaging. ISMRM-ESMRMB 2018, Paris, France(Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-2155).

42. Gupta RK,  Saha I, Singh A. High Resolution T1-Perfusion using Compressed-SENSE for Glioma Grading. ISMRM-ESMRMB 2018, Paris, France(Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-4858).

43. Chatterjee S,  Thakran S,  Gupta R,  Singh A. nfluence of Parameter Optimization and Segmentation on the Accuracy of Various Registration Approaches for Multi-parametric 3D Breast MRI Data.  ISMRM-ESMRMB 2018, Paris, France (Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-2681).

44. Gupta PK,  Saini J, Awasthi A,  Pandey C, Mohapatra S, Singh, A, et al.  Multi-parametric imaging based differentiation of primary CNS lymphoma from Glioblastoma using T1-Perfusion, Diffusion and Susceptibility-weighted MR Imaging. ISMRM-ESMRMB 2018, Paris, France (Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-3931).

45. Bhattacharjee R, Budania P, Gupta PK, Gupta RK, Ahlawat S, Singh A. Quantitative Micro-Vasculature Volume Assessment of Intra Tumoral Susceptibility Signal (ITSS) in differentiating Grade-III from IV glioma. ISMRM-ESMRMB 2018, Paris, France (Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-3420).

46. Singh A, Bhattacharjee R, Budania P, Gupta PK, Gupta RK, Ahlawat S. R2-Star & DCE-Perfusion MRI based Novel Approach for Classification of Intra Tumoral Susceptibility Signal (ITSS) into Haemorrhage, Non-Leaky Vessels and Leaky Vessels in Glioblastoma. ISMRM-ESMRMB 2018, Paris, France (Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-5030).

47. Sengupta A, Singh A, Agarwal S, Gupta PK, Gupta RK. Support Vector Machine based Differentiation between Vasogenic Edema and Non-enhancing Tumor in High-Grade Glioma Patients using Pre and Post Surgery MRI Images. ISMRM-ESMRMB 2018, Paris, France (Proc.Intl.Soc.Mag.Reson.Med. 26(2018), Page Nu-5512).

ISMRM Annual Meeting (Proc.Intl.Soc.Mag.Reson.Med(Before 2018)):

 

48. Sengupta A, Dadarwal R, Gupta RK, and Singh A. Evaluating effect of B1 field Inhomogeneity on DCE-MRI Data Analysis of Brain Tumor Patients at 3T.  ISMRM: 25th Annual Meeting & Exhibition-2017, Honolulu, USA, (Proc.Intl.Soc.Mag.Reson.Med. 25(2017), Page Nu-1430).

49. Sengupta A, Gupta RK, Agarwal S, and Singh A. A Machine Learning Based Approach for Fast T1 estimation with Improved Accuracy.  ISMRM: 25th Annual Meeting & Exhibition-2017, Honolulu, USA, (Proc.Intl.Soc.Mag.Reson.Med. 25(2017), Page Nu-3994).

50. Sehrawat S, Gupta PK, Singhal M, Gupta RK, and Singh A. Quantification of tracer kinetic and hemodynamic parameters of human breast tumor and fibro-glandular tissue using DCE-MRI data.  ISMRM: 25th Annual Meeting & Exhibition-2017, Honolulu, USA, (Proc.Intl.Soc.Mag.Reson.Med. 25(2017), Page Nu-1917).

51. Debnath A, Singh A. Lorentzian Probabilistic Sum based Z-Spectrum fitting approach for Computing CEST and NOE Contrast and Its Comparison with Lorentzian Sum and Asymmetry Analysis.  ISMRM: 25th Annual Meeting & Exhibition-2017, Honolulu, USA, (Proc.Intl.Soc.Mag.Reson.Med. 25(2017), Page Nu-1975).

52. Tamuli D, Sethi T, Anup Singh, Kumaran SS, Jaryal A, Srivastava A, and Deepak KK. Volumetric MR analysis of brain areas identifies SCA 1, 2 and 3 by applying random forest classifier. ISMRM: 25th Annual Meeting & Exhibition-2017, Honolulu, USA, (Proc.Intl.Soc.Mag.Reson.Med. 25(2017), Page Nu-4160).

53. Bhandari A, Bansal A, Singh A, and Sinha N. Transport of Liposome Encapsulated Drugs in Voxelized Computational Model of Brain Tumors. ICONAN 2016 Sep, Paris

54. Sengupta A,  Sahoo P,  Agarwal S,  Gupta R,  Singh A. Evaluating role of Quantitative DCE MRI parameters and selection of ROI in Grading of Contrast Enhancing Glioma.  ESMRMB Annual Scientific Meeting 2016, Vienna. PN-463.

55. Sehrawat S, Chatterjee S, Singhal M, Gupta RK, Singh A. Automatic Outer and Inner Breast Tissue Segmentation in MRI images of Breast Cancer Patients. ESMRMB Annual Scientific Meeting 2016, Vienna. PN-18.

56. Sengupta A, Sahoo P, Gupta P, Gupta RK, Singh A.  T1 mapping using 3-point FSE and multi-flip-angle methods and effect of B1 field inhomogeneity on T1 in human brain on 3T MRI scanner. ESMRMB Annual Scientific Meeting 2016, Vienna. PN-202.

57. Singh A, Haris M, Cai K, Hariharan H, Reddy R. A Study on CrCEST Mapping in Human Brain at 7T MRI. (Proceedings of ISMRM: Annual Meeting & Exhibition-2016 May7-13, Singapore. PN-1510).

58. Debnath A, Sahoo P, Gupta P, Gupta RK, Singh A. APT MRI of Intracranial Mass Lesions at 3T and Comparison with Perfusion Parameters. (Proceedings of ISMRM: Annual Meeting & Exhibition-2016 May7-13, Singapore. PN-3712).

59. Singh A, Sahu P, Kabra V, et al.  T1 Mapping of Human Breast Tissue using T1, T2 and PD Weighted MRI Images at 3T. Proceedings of Joint Annual Meeting ISMRM-ESMRMB in Toronto, Ontario, Canada, 2015. P-1085.

60. Singh A, Nanga RP, Cai K, et al. Transverse Relaxation Amplified by Chemical Exchange (TRACE): A New Method for Mapping Molecular Integrity of Cartilage, Joint Annual Meeting ISMRM-ESMRMB (2014), p-1496.

61. Singh A, Reddy D, Haris M, et al. A study on T1ρ mapping of Healthy and Fibrotic Human Liver, Joint Annual Meeting ISMRM-ESMRMB (2014), p-2159.

62. Garimall S, Singh A, D’Aquilla K, et al. Reproducibility of High-Resolution T1ρ Mapping of Human Knee Cartilage at 7T, Joint Annual Meeting ISMRM-ESMRMB (2014), p-7228.

63. Nanga RP, Singh A, Hariharan H, Reddy R. pH Dependence of gagCEST at 7T, Joint Annual Meeting ISMRM-ESMRMB (2014), p-305. (Oral)

64. Singh A, Haris M, Cai K, Kogan, F, et al.  Z-Spectrum Fitting for CEST Contrast Computation in In Vivo Myocardium Tissue. ISMRM-2013.

65.Singh A, Haris M, Cai K, Kogan F, Hariharan H, Reddy R.  High Resolution T1ρ Mapping of In Vivo Human Articular Cartilage at 7T. OARSI-2013.

66. Singh A, Cai K, Haris M, Hariharan H, Reddy R.  B1 Inhomogeneity Correction of In-vivo CEST Contrast. ISMRM-2012.

67. Singh A, Haris M, Cai K, Kassey VB, Kogan F, et al.  CEST MRI of Human Knee Cartilage at 3T and 7T.  ISMRM-2012.

68. Cai K, Singh A, Haris M, Nanga RP,  Hariharan H, Reddy R.  Imaging of Regional distribution of Brain Glutamate with GluCEST MRI. ISMRM-2012.

69. Haris M, Singh A, Cai K, et al.  Chemical exchange saturation transfer effects from creatine kinase reaction metabolites.  ISMRM-2012.

70. Haris M, Cai K, Singh A, Nanga RP, Reddy CD, et al.  Detection of Exercised Induced Changes in Creatine Level in Human Calf Muscles through CEST: A Preliminary Study.  ISMRM-2012.

71. Cai K, Xu HN, Singh A, Haris M, et al.  Imaging of Prostate Cancer Metabolic Heterogeneity with CEST and MT MRI.  ISMRM-2012.

72. Singh A, Hariharan H, Cai K, Haris M and Reddy R. Optimized CEST Imaging of Intermediate to Fast Exchanging Agents in In-vivo Situations. ISMRM-2011

73. Singh A, Cai K, Haris M, Hariharan H and Reddy R. Modeling MT Effect of Bound Water Pool and its use in Correction of CEST Contrast for MT Asymmetry. ISMRM-2011

74. Singh A, Haris M, Cai K, Witschey WRT, Hariharan H and Reddy R. Fluid Suppressed T1ρ Mapping of Human Liver on Clinical Scanners. ISMRM-2011

75. Singh A, Cai K, Haris M, Greenberg JH, Hariharan H and Reddy R. Dependence of CEST Effect from Amine Protons of Glutamate on pH. ISMRM-2011

76. Singh A, Haris M, Cai K, Hariharan H and Reddy R. Chemical Exchange Transfer Imaging of Creatine. ISMRM-2011

77. Cai K, Singh A, Grasley K, Haris M, Reddy D, Hariharan H, and Reddy R. CEST MRI of Human Liver at 3T. ISMRM-2011

78. Haris M, Singh A, Cai K, Witschey WRT et al. Assessment of Chemical exchange saturation transfer effects in Myocardial Tissue at 7T. ISMRM-2011

79. Haris M, Singh A, Cai K, Nath K, Berger R, et al. High Resolution Imaging of Myo-Insitol in Alzhemier’s Disease Pathology. ISMRM-2011

80. Cai K, Haris M, Singh A, Kogan F, et al. MRI of Glutamate Modulation in-vivo. ISMRM-2011

81. Cai K, Grasley K, Singh A, Pilkinton D, et al. Field Shift due to Paramagnetic Effect of Molecular Oxygen. ISMRM-2011

82. Haris M, Cai K, Singh A, Kassey VB, et al.  Chemical Exchange Saturation Transfer effect from Phospho-creatine (PCr) and Adenosine-tri-phosphate (ATP). ISMRM-2011

83. Cai K, Haris M, Singh A, Shore A, Berger R, et al.  MRI of Angiogenesis and Vasculature Alternations in Alzheimer’s Disease Based on Endogenous BOLD Contrast. ISMRM-2011

84. Cai K, Shore A, Singh A, Haris M, Reddy D, et al.  Tumor Angiogenesis and Vasculature MRI with Endogenous BOLD Effect. ISMRM-2011

85. Singh A, A. Borthakur, MA. Sochor, Fenty M, McArdle E, Witschey WRT, et al. A Study of T1ρ Values in Articular Cartilage between Different Age Groups of Asymptomatic Subjects. ORS-2010

86. Singh A, Haris M, Cai K, Borathakur A, Hariharan H, and Reddy R.  A Method for De-scalping Human Brain MRI Data using Lipid Ratio Map. ISMRM-2010.

87. Haris M, Cai K, Singh A, Kogan F, Witschey WRT, Hariharan H, and Reddy R. Detection of Myo-Inositol in-vivo using MR Chemical Exchange Saturation Transfer Imaging (MICEST). ISMRM-2010

88. Cai K, Haris M, Singh A, Kogan F, P. Waghray, Witschey WRT, Hariharan H, Detre JA, and Reddy R.  Magnetic Resonance Imaging of the Neurotransmitter GABA in-vivo. ISMRM-2010.

89. Cai K, Haris M, Singh A, Gaddam S, Daye D, Grasley K, Zsido GII, Hariharan H, and Reddy R.  Assessment of Chemical Exchange Saturation Transfer Effects in Liver Tissue at 7T. ISMRM-2010

90. Singh A, Haris M, McArdle E, Sochor M, Fenty M, et al. T1rho (T1ρ) MR imaging in Alzheimer’ Disease and Parkinson’s Disease. ISMRM-2009.

91. Haris M, McArdle E, Sochor M, Fenty M, Singh A, Davatzikos C, et al. T1rho (T1ρ) MRI and CSF analysis in prediction of Alzheimer’s disease at early stage. ISMRM-2009.

92. Haris M, McArdle E, Sochor M, Fenty M, Singh A, Davatzikos C, et al. Early marker for Alzheimer’s disease: Hippocampus T1rho (T1ρ) estimation. ISMRM-2009.

93. Singh A, Rathore RKS, Gupta RK, Haris M, et al. Fitting of the Piecewise Linear Function to Signal Intensity Time Curve and its Application in improving the Analysis of Concentration Time Curve of DCE-MRI Data. ISMRM-ESMRMB 2007.

94. Singh A, Rathore RKS, Gupta RK, Haris M, et al. Segmentation of Gd-DTPA Enhancing Lesion of Brain using Time to Peak of Concentration Time Curve and its Pharmacokinetic Analysis in DCE MRI. ISMRM-ESMRMB 2007.

95. Haris M, Gupta RK, Singh A, Rathore DS, et al. Serial DCE MR Imaging to Quantify Treatment Induced Temporal Changes in Brain Tuberculomas. ISMRM-ESMRMB 2007.

96. Haris M, Gupta RK, Singh A, Rathore DS, et al. Differentiation of Infective from Neoplastic Brain Lesions by Dynamic Contrast Enhanced MRI. ISMRM-ESMRMB 2007.

97. Haris M, Sapru S, Das K, Singh A,  et al. Radiation Induced Changes in Perfusion Metrics in Low Grade Glioma using Dynamic Contrast Enhanced MRI. ISMRM-ESMRMB 2007.

98. Rathore RKS, Singh A, Gupta RK, et al. Voxel-wise exact T1 estimation for accurate quantitation of perfusion indices using fast 3D-SPGR in intracranial mass lesion. ISMRM-2006

 

Abstracts (back)

SELECTED CONFERENCE ABSTRACTS IN OTHER CONFERENCES

1.    Automated Brain Extraction in Multi-Sequence MR Images Across Multiple Centres and Pathologies

2.    A Kesari, VK Yadav, RK Gupta, and A Singh. Improvement in Brain Tumor Grading by Automatic Segmentation of Blood Vessels. Proceedings of ASMRM 2023. Abstract Number: J9.

3.    A S Soni*, A Kandpal*, R K Gupta, and A Singh. Skull Stripping in Brain Tumor Patients using Deep Learning. Proceedings of ASRM 2023. Abstract Number: C8 (*Authors share equal contributions)

4.    P Kumar, A Kandpal, R K Gupta and A Singh. Enahnced Brain Tissue Segmentation in Tumor Patients using Deep Learning Framework. Proceedings of ASMRM 2023. Abstract Number: C3.

5.    "R Jafari , R K Gupta , R K Verma, R K Singh , and A Singh.  Automatic Segmentation of Left Ventricular Myocardium on Cine MRI using Deep Learning. ASMRM 2023, Delhi. Abstract Number: C1".

6.    P Prajapati, RK Gupta and A Singh. Deep Learning framework to denoise DCE MRI data.  ASMRM 2023, Delhi. Abstract Number: C2.

7.    S Maurya, A Singh. Medical image registration using a GAN (Generative Adversarial Network) framework. ASMRM 2023, Delhi.

8.     S Maurya, RK Gupta, A Singh. High Resolution mapping of tumor vasculature using SWI-EPI. International Conference on BIOMEDICAL MATERIALS AND TECHNOLOGY – 2023.

9.    S Kumar* , R Jafari* , A Kandpal , RK Gupta , A Mehndiratta and A Singh. Automatic classification of Cine MRI slices with limited data using CNN models.  The 2nd ISMRM Workshop on Accessible MRI. Abstract number-17.

10. Debnath A, Singh A, et al. Multilayered Phantom Design for Testing of MR Contrast Agents at Clinical Scanners. ISMRM Indian Workshop-2019, New Delhi.

11. Debnath A, Gupta R, Singh A. APT MRI of intracranial mass lesions at 3T. PENN-CEST 2015, Oct25-28, Philadelphia, USA.

12. Debnath A, Singh A. Selection of Offset Frequency range in Z-spectral fitting for computing CEST and NOE contrast. Conference on Recent Advances in MRI and MRS. New Delhi, India, 2017.

13. Sengupta A, Sasi D , Choudhary R, Budania P, Nijhawan A,  Manickam S, Gupta RK, Singh A. A Software Tool for Quantitative Analysis of DCE-MRI Data. Conference on Recent Advances in MRI and MRS. New Delhi, India, 2017. (Best Poster award).

14. Bhandari A, Bansal A, Singh A, and Sinha N. Transport of Liposome Encapsulated Drugs in Voxelized Computational Model of Brain Tumors. ICONAN 2016 Sep, Paris, Abstract ID: 239, Abstract Nu 126.

15. Sengupta A, Sahoo P,  Agarwal S,  Gupta R,  Singh A. Evaluating role of Quantitative DCE MRI parameters and selection of ROI in Grading of Contrast Enhancing Glioma.  ESMRMB Annual Scientific Meeting 2016, Vienna. Abstract Nu -463.

16. Sehrawat S, Chatterjee S, Singhal M, Gupta RK, Singh A. Automatic Outer and Inner Breast Tissue Segmentation in MRI images of Breast Cancer Patients. ESMRMB Annual Scientific Meeting 2016, Vienna. Abstract Nu -18.

17. Sengupta A, Sahoo P, Gupta P, Gupta RK, Singh A.  T1 mapping using 3-point FSE and multi-flip-angle methods and effect of B1 field inhomogeneity on T1 in human brain on 3T MRI scanner. ESMRMB Annual Scientific Meeting 2016, Vienna. PN-202.

18. Singh A, Haris M, Cai K, Kogan F, Hariharan H, Reddy R.  High Resolution T1ρ Mapping of In Vivo Human Articular Cartilage at 7T. OARSI-2013.

19. Singh A, A. Borthakur, MA. Sochor, Fenty M, McArdle E, Witschey WRT, et al. A Study of T1ρ Values in Articular Cartilage between Different Age Groups of Asymptomatic Subjects. ORS-2010. Poster presentation.